The document discusses introducing automated testing to software projects using the Automated Testing Lifecycle Methodology (ATLM). The ATLM provides a structured six-phase approach to deciding on, acquiring, introducing, planning, executing, and reviewing automated testing. It addresses common misconceptions around test automation and outlines the methodology's phases and processes to help organizations implement automated testing successfully.
Learn software testing with tech partnerz 3Techpartnerz
Software configuration management identifies and controls all changes made during software development and after release. It organizes all information produced during engineering into a configuration that enables orderly control of changes. Some key items included in a software configuration are management and specification plans, source code, databases, and production documentation.
The document discusses software testing fundamentals including what testing is, why it's important, the testing lifecycle, principles, and process. It explains that testing verifies requirements are implemented correctly, finds defects before deployment, and improves quality and reliability. Various testing techniques are covered like unit, integration, system, manual and automation testing along with popular testing tools like Mercury WinRunner, TestDirector, and LoadRunner.
This document summarizes Rex Black's book on risk-based testing strategies. It discusses:
- The two main types of risks in testing: product risks related to quality, and project risks related to management and schedules.
- How risk-based testing guides testing activities based on identified risks, prioritizing higher-risk items and allocating more testing effort to them.
- The benefits of risk-based testing over requirements-based testing, like having a more predictable reduction in risk over time and the ability to intelligently reduce testing if needed.
- The history of risk-based testing strategies dating back to the 1980s, and how modern approaches aim to systematically analyze and address risks.
This document discusses various topics related to test management. It covers independent and integrated testing, the roles of test leaders and testers, defining the skills test staff need, test plans and estimates, configuration management, risk and testing, and incident management. The document provides information on each of these topics in 1-3 paragraphs per section to outline the key aspects and considerations for test management.
This document provides an overview of the ISTQB CTAL Test Manager certification. It discusses key topics that will be covered on the exam, including test processes and tools, testing in the software development life cycle, test planning, test control, and assessing development and test processes. The author aims to present 90% of the information directly from the ISTQB syllabus and provides some of their own insights. References and resources are also included to aid further study.
The document discusses software test automation. It defines software test automation as activities that aim to automate tasks in the software testing process using well-defined strategies. The objectives of test automation are to free engineers from manual testing, speed up testing, reduce costs and time, and improve quality. Test automation can be done at the enterprise, product, or project level. There are four levels of test automation maturity: initial, repeatable, automatic, and optimal. Essential needs for successful automation include commitment, resources, and skilled engineers. The scope of automation includes functional and performance testing. Functional testing is well-suited for automation of regression testing. Performance testing requires automation to effectively test load, stress, and other non-functional requirements
A presentation that provides an overview of software testing approaches including "schools" of software testing and a variety of testing techniques and practices.
Test coverage refers to measuring the degree to which the code or requirements are executed by a test suite. It helps identify areas that are not tested and improve test quality. Measuring test coverage establishes traceability between requirements and test cases, enables change impact analysis, and prevents defect leakage. Test coverage can be achieved through techniques like bi-directional traceability, static reviews, converting defects to test cases, and using code/unit test coverage tools. Maintaining adequate test coverage provides benefits like early defect prevention and better return on investment, while best practices include periodic maintenance, quality gates, using test management tools, and maintaining coverage metrics.
This document provides information on test management based on the ISTQB (International Software Testing Qualifications Board) syllabus. It discusses the importance of independent testing, test planning, estimation strategies, test progress monitoring, configuration management, risk management, and reporting test status. Key aspects covered include organizing independent versus integrated test teams, factors to consider in test planning, estimation techniques, test strategies, and test leader and tester roles and responsibilities.
The document outlines seven principles of software testing: 1) Testing shows the presence of errors, not their absence; 2) Exhaustive testing of all possible test cases is impossible; 3) Testing early in the development cycle is important to more easily fix defects; 4) Defects tend to cluster together, following an 80-20 distribution; 5) Test effectiveness fades over time as software changes; 6) Testing methods depend on the type of application; 7) Finding no errors does not mean the system is usable - user requirements must still be met.
This document discusses test management. It covers organizational structures for testing like having developers test their own code or having a dedicated testing team. It also discusses estimating testing time, monitoring testing progress through metrics like incident reports, and using configuration management to control testing activities and products. The key aspects of test management covered are organizational structures, estimation, monitoring, control, and configuration management.
The document discusses various aspects of developing a test strategy for software projects. It covers topics like test levels, roles and responsibilities, test types, test methodologies, test estimation processes, risk analysis and management. Some key points include defining the scope, risks, test priorities and approach in the strategy. It also discusses test estimation techniques like use case points, function points and test case points to estimate the testing effort.
The document outlines a software testing lifecycle practice plan that includes test planning, case design, execution, defect tracking, and reporting over 10 hours total. It provides details on each stage including objectives, key points, and sample templates. Homework involves drafting a test plan, cases, and report for testing a work log system.
Automated regression testing can improve quality and reduce testing time compared to manual regression testing. However, many organizations struggle to implement automated regression testing successfully. Common pitfalls include high maintenance of automated test scripts when the system under test changes, poor quality of automated test scripts if manual test cases are simply translated to scripts without redesign, and lack of a structured process and test automation framework. The article recommends selecting the right person for automating tests, choosing tools carefully, taking a generic approach to interacting with any application regardless of technology, designing test cases as logical business flows, creating reusable interaction functions, and building in error handling and reporting capabilities.
The document provides guidance on conducting user acceptance testing (UAT) for a business team testing a new web application. It outlines the UAT process, including planning the test, defining roles and responsibilities, guidelines for testers, managing defects found, and finalizing testing before moving the application to live production. The goal of UAT is to ensure the application meets business needs and functions as intended before launch.
The document discusses strategies for designing effective test cases, including black box and white box testing approaches. It focuses on the black box strategy of equivalence class partitioning to guide test case selection. Equivalence class partitioning involves dividing the software's input domain into partitions (equivalence classes) based on interesting input conditions from the specification. Test cases are then developed to cover all the classes. This technique guides testers to select a representative subset of inputs that has a high probability of detecting defects, while covering a large domain with fewer test cases.
iSQI Certification Days ISTQB Advanced Axel RennochIevgenii Katsan
The document discusses proposed new certification syllabi for quality engineering roles including Test Automation Engineer, Model-Based Testing, and Quality Engineer for IoT. It provides an overview and outline of the syllabi, including business objectives and learning objectives, to help increase adoption of advanced testing approaches in industry. The certifications aim to educate practitioners and help testing methods gain wider acceptance in software development.
How to accelerate UAT & Regression TestingSensiple Inc.,
How to accelerate UAT & Regression Testing is a webinar explaining the multi faceted benefits of Sensiple's IP that helps to increase efficiency and reduce cost
This is the chapter 5 of ISTQB Advance Test Automation Engineer certification. This presentation helps aspirants understand and prepare content of certification.
Automating Software Development Life Cycle - A DevOps ApproachAkshaya Mahapatra
The document discusses DevOps and provides an overview of the key concepts. It describes how DevOps aims to bring development, operations, and business teams together through automating processes, continuous monitoring, and breaking down silos between teams. The document then covers various DevOps tools and technologies like version control systems, build tools, configuration management, virtualization, and continuous integration/deployment practices.
The Puppet Master on the JVM - PuppetConf 2014Puppet
Puppet Server is a new component of Puppet Enterprise that improves performance, scalability, and availability. It uses a Service-Oriented Architecture and the Trapperkeeper framework, which allows for better extensibility. Puppet Server provides significantly faster catalog compilation times, agent run times, and request response times compared to the previous Apache/Passenger architecture. It can also handle more agents per master as it continues to be optimized.
Mobile is booming, and that's a good thing! But with multiple operating systems and tens of thousands of devices on the market, how can you ensure your app delights your users everywhere, every time, at every turn?
Practical Tips & Tricks for Selenium Test AutomationSauce Labs
Have unanswered Selenium questions? Want to learn how to use Selenium like a Pro? Join Dave Haeffner - author of The Selenium Guidebook - as he steps through the best and most useful tips & tricks from his weekly Selenium tip newsletter (Elemental Selenium).
This document outlines the strategy and services of a digital consulting firm. It provides expertise in digital strategy, product development, processes automation, and innovations. The firm advises clients on how to innovate, develop trends, and engage customers through discovery. It invests in startups and has expertise in areas like R&D, agile development, M&A, analytics, and monetization models. The head of digital also provides consulting, coaching, speaking, and mentoring services.
Client is an 8.5 year old bilingual boy referred for treatment of a moderate fluency disorder characterized by repetitions, prolongations, and blocks. He has a history of sound distortions that were resolved, as well as recurrent ear infections. Evaluation found moderately severe stuttering involving sound and word repetitions, with concomitant behaviors like tension. Testing found awareness of his stuttering impacts his experiences at school. Treatment is recommended to teach fluency techniques and address attitudes, with a good prognosis given his age and motivation.
Dynamic Beamforming Optimization for Anti-Jamming and Hardware Fault RecoveryJonathan Becker
In recent years there has been a rapid increase in the number of wireless devices for both commercial and defense applications. Such unprecedented demand has increased device cost and complexity and also added a strain on the spectrum utilization of wireless communication systems. This thesis addresses these issues, from an antenna system perspective, by developing new techniques to dynamically optimize adaptive beamforming arrays for improved anti-jamming and reliability.
Available frequency spectrum is a scarce resource, and therefore increased interference will occur as the wireless spectrum saturates. To mitigate unintentional interference, or intentional interference from a jamming source, antenna arrays are used to focus electromagnetic energy on a signal of interest while simultaneously minimizing radio frequency energy in directions of interfering signals. The reliability of such arrays, especially in commercial satellite and defense applications, can be addressed by hardware redundancy, but at the expense of increased volume, mass as well as component and design cost.
This thesis proposes the development of new models and optimization algorithms to dynamically adapt beamforming arrays to mitigate interference and increase hardware reliability. The contributions of this research are as follows. First, analytical models are developed and experimental results show that small antenna arrays can thwart interference using dynamically applied stochastic algorithms. This type of in-situ optimization, with an algorithm dynamically optimizing a beamformer to thwart interference sources with unknown positions, inside of a anechoic chamber has not been done before to our knowledge. Second, it is shown that these algorithms can recover from hardware failures and localized faults in the array. Experiments were performed with a proof-of-concept four-antenna array. This is the first hardware demonstration showing an antenna array with live hardware fault recovery that is adapted by stochastic algorithms in an anechoic chamber. We also compare multiple stochastic algorithms in performing both anti-jamming and hardware fault recovery. Third, we show that stochastic algorithms can be used to continuously track and mitigate interfering signals that continuously move in an additive white Gaussian noise wireless channel.
This document provides an overview of agile fundamentals and practices. It discusses concepts like linear vs agile development structures, Scrum frameworks, minimum viable products, sprints, prioritization techniques, team roles and skills, benefits and pitfalls of agile approaches, and continuous improvement. Key aspects covered include iterative planning and releases, minimal documentation, self-organizing teams, frequent inspection and adaptation, customer collaboration, and responding to change.
Scrum is an agile framework for managing product development that focuses on continuous delivery of working software in short cycles called sprints, typically two weeks or less. Scrum emphasizes self-organizing cross-functional teams and accountability, iterative development and progress transparency through regular inspection of working increments. Key Scrum practices include sprint planning, daily stand-up meetings, sprint reviews, and retrospectives. Scrum can scale to large, complex projects through techniques like Scrum of Scrums.
Accenture DevOps: Delivering applications at the pace of businessAccenture Technology
Are you ready to shift to continuous delivery? DevOps, a leading software engineering innovation, makes this shift possible by bringing business, development and operation teams together to streamline IT and applying more automated processes.
Why and When to Use Automation in Software TestingV2Soft
Automation in software testing is becoming increasingly popular due to its ability to reduce costs, improve accuracy and efficiency, and allow for faster delivery of products. Automated testing can help developers identify bugs early in the development cycle, leading to fewer errors and better-quality software. Automation also reduces the need for manual testing, freeing up resources that can be used elsewhere. By automating specific tasks, testers can focus on more complex tasks that require human judgement and experience. Ultimately, automation helps reduce time-to-market while improving the quality of the product.
Chapter 6 - Transitioning Manual Testing to an Automation EnvironmentNeeraj Kumar Singh
The document discusses factors to consider when transitioning from manual to automated testing. It states that traditionally organizations have developed manual test cases, and when deciding to automate, one must evaluate current manual tests and determine the most effective approach to automating these assets. Not all tests can or should be automated. There are criteria provided for determining what types of tests are good candidates for automation, such as frequency of use and complexity. Steps for automating regression tests are also outlined.
Top 5 Pitfalls of Test Automation and How To Avoid ThemSundar Sritharan
The document discusses top pitfalls of test automation and how to avoid them. It identifies the top 5 pitfalls as: 1) diving into open source tools without preparation, 2) developing test scripts without standardization, 3) automating all test cases without prioritization, 4) choosing in-house testing over cloud options, and 5) assuming automation testing is not the tester's job. It provides guidance on how to effectively implement test automation by choosing the right tools, standardizing test development, prioritizing test cases, leveraging cloud options, and defining tester responsibilities.
How To Implement Efficient Test Automation In The Agile World.pdfAnanthReddy38
In today’s fast-paced software development landscape, agility is key. Agile methodologies have revolutionized the way software is built and delivered, allowing teams to respond quickly to changing requirements and customer feedback. Test automation plays a pivotal role in enabling agility by ensuring rapid and reliable testing processes. However, implementing efficient test automation in the Agile world requires a thoughtful approach. In this article, we will explore the best practices and strategies for achieving this goal.
Understanding Agile and Test Automation
Before delving into the specifics of implementing test automation in Agile, it’s essential to understand the core principles of both Agile and test automation.
Agile Development is an iterative and incremental approach to software development that emphasizes flexibility, collaboration, and customer-centricity. It focuses on delivering small, functional increments of software, known as “user stories” or “features,” in short timeframes called “sprints.”
Test Automation involves using automated testing tools and scripts to perform repetitive and time-consuming test activities, such as regression testing, load testing, and functional testing. Test automation aims to increase testing efficiency, accuracy, and speed while reducing manual effort.
Challenges in Implementing Test Automation in Agile
Continuous Change: Agile projects are characterized by changing requirements and frequent updates. This dynamic environment can pose challenges for maintaining automated test scripts, as they may become obsolete quickly.
Time Constraints: Agile emphasizes short development cycles. This means that testing needs to keep up with the pace of development, requiring automation to be both efficient and effective.
Collaboration: Agile teams rely on close collaboration between developers, testers, and other stakeholders. Effective communication and collaboration are essential to ensure that automated tests align with the project’s goals.
Best Practices for Efficient Test Automation in Agile
1. Start Early
Begin test automation efforts as soon as possible in the project lifecycle. Test automation should be an integral part of the development process from the beginning. This ensures that automated tests can evolve alongside the application, adapting to changing requirements.
2. Select the Right Tools
Choose test automation tools that are well-suited for Agile development. Tools like Selenium, Appium, and JUnit are popular choices because of their flexibility and compatibility with Agile practices. Additionally, consider tools that offer collaboration features and integrate easily with your development environment.
3. Test Automation Pyramid
Adhere to the Test Automation Pyramid concept, which suggests a hierarchy of test automation levels: unit testing, integration testing, and UI testing.
DevOps Test Automation_ Its Significance, Types, and Tools.pdfkalichargn70th171
Effective software testing is a crucial aspect of development. However, manual testing poses challenges for collaboration and timely feedback among QA and DevOps testing teams, causing delays in release cycles. Test automation, an automated QA testing approach, addresses these issues by streamlining the review and validation processes, enhancing software quality, promoting consistent code, and improving user experience.
The document discusses factors to consider when determining whether to automate testing or not. It outlines questions to ask about the project status, team readiness, and challenges commonly encountered with automation. Key factors include having frequent regression cycles, a stable GUI, dedicated staff and budget, and comprehensive manual test cases. Common problems are incorrect tool selection, inadequate skills training, aiming too high for full automation, poor test design, and neglecting maintenance as automated tests require updates. Automation is best suited for regression testing but not a replacement for all manual testing.
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
Tackling software testing challenges in the agile eraQASymphony
This document provides an overview of testing challenges in the Agile development era and discusses different testing methodologies. It contains introductions to four chapters that will be included in the eBook. The chapters are written by Vu Lam, CEO of QASymphony, and Sellers Smith, Director of Quality Assurance and Agile Evangelist for Silverpop.
The first chapter discusses how testers need to be reimagined for the Agile age. Testers must adopt an Agile mindset and be involved earlier in the development process. They also need tools designed specifically for Agile testing. The second chapter explores different testing methods including automated, exploratory, and user acceptance testing. It advises using
TestOps and its Role in Software Quality Management - AfourTech USA.docxAfour tech
To improve your software quality management journey, our TestOps Services at Afour Technologies can be a great solution for you. Our Automation Software Testing Services and Test Automation Framework can help you achieve faster and more reliable testing, resulting in higher-quality software. So don’t hesitate to reach out to us at contact@afourtech.com to book your free consultation today and learn more about how we can assist you.
Automated testing involves developing and executing test scripts using an automated test tool to verify test requirements. It has advantages like reduced costs, increased efficiency, and improved quality. However, automated testing also has limitations such as an inability to test certain aspects that require physical interaction. The automated test life-cycle methodology involves planning, designing, executing, and reviewing automated tests. Key steps include deciding what to automate, acquiring suitable tools, and analyzing the testing process.
Automated testing involves managing and executing test scripts to verify requirements using an automated test tool. It has advantages like reduced costs, increased efficiency, and improved quality compared to manual testing. However, automated testing also has limitations such as not all tests can be automated. There are various automated test tools and methodologies that can be used at different stages of the software development life cycle. The document then provides details on tools and methods for automated testing used at CAR IMM Iasi such as DOORS for requirements management, SiTemppo for test management, and TUX, TTCN-3, and Silk Test for automated testing.
Automated testing involves developing and executing test scripts using an automated test tool to verify test requirements. It has advantages like reduced costs, increased efficiency, and improved quality. However, automated testing also has limitations such as an inability to test certain aspects that require physical interaction. The automated test life-cycle methodology involves planning, designing, executing, and reviewing automated tests. Key steps include deciding what to automate, acquiring suitable tools, and analyzing the testing process.
Streamline and Accelerate User Acceptance Testing (UAT) with Automation.pdfRohitBhandari66
The document discusses how automation can streamline and accelerate the user acceptance testing (UAT) process. It describes how traditional manual UAT is time-consuming, labor-intensive, and error-prone. Automation tools like Opkey can overcome these challenges by enabling test case creation and management, automated test execution, comprehensive defect tracking and reporting, and integration with other tools. This allows organizations to complete UAT more efficiently, with improved test coverage, accuracy, and cost-effectiveness. The conclusion states that Opkey is an effective automation tool for UAT that saves time and money while improving software quality.
The Leaders Guide to Getting Started with Automated TestingJames Briers
Conventional testing is yesterday’s news, is required but needs the same overhaul that has happened in development. It needs to be a slicker operation that really identifies the risk associated with release and protects the business from serious system failure. The only way to achieve this is to remove the humans, they are prone to error, take a long time, cost a lot of money and don’t always do what they are told.
Automation needs to be adopted as a total process, not a bit part player. Historically automation has focussed on the User Interface, which can be a start, but is often woefully lacking. Implementing an Automation Eco-System, sees automation drive through to the interface or service layer, enabling far higher reuse of automated scripts, encompasses the environment and the test data within it’s strategy, providing a robust, repeatable and reusable asset.
Don’t just automate the obvious. Automation is not a black box testing technique. Rather it is mirroring the development and building an exercise schedule for the code. Take your testing to the next level and realise the real benefits of a modern Automation Eco-system.
Becoming a QA Automation Expert: A Tech Enthusiast's Complete GuideTestgrid.io
Ready to supercharge your QA process? Discover the ultimate guide to QA Automation in our eBook, 'Automate to Elevate: Mastering Quality Assurance.' Learn how to save time, increase efficiency, and ensure top-notch software quality with step-by-step strategies and best practices. From selecting tools to writing effective scripts, we've got you covered. Don't let manual testing slow you down. Download now and elevate your QA game!
Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionBert Blevins
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfNeo4j
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Measuring the Impact of Network Latency at TwitterScyllaDB
Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxSynapseIndia
Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation
7 Most Powerful Solar Storms in the History of Earth.pdfEnterprise Wired
Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
Comparison Table of DiskWarrior Alternatives.pdfAndrey Yasko
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
1. Automated Software Testing
Introducing the ATLM
Software project managers and software developers building today’s applications face the challenge of doing so
within an ever-shrinking schedule and with minimal resources. As part of their attempt to do more with less,
organizations want to test software adequately, but as quickly and thoroughly as possible. To accomplish this goal,
organizations are turning to automated testing.Faced with this reality and realizing that many tests cannot be
executed manually, such as simulating 1,000 virtual users for volume testing, software professionals are introducing
automated testing to their projects. But these software professionals may not know what’s involved in introducing an
automated test tool to a software project, and they may be unfamiliar with the breadth of application that automated
test tools have today. The Automated Testing Lifecycle Methodology (ATLM), depicted in provides guidance in these
areas. The Automated Test Lifecycle Methodology (ATLM).By using the systematic approach outlined within the
ATLM, organizations can organize and execute test activities in such a way as to maximize test coverage within the
limits of testing resources. This structured test methodology involves a multi-stage process, supporting the detailed
and interrelated activities that are required to introduce and utilize an automated test tool:
Develop test design.
Develop and execute test cases.
Develop and manage test data and the test environment.
Document, track, and obtain closure on issue/trouble reports.
Clearly, the emphasis on automated testing represents a paradigm change for the software industry. This change
doesn’t simply involve the application of tools and the performance of test automation. Rather, it blankets the entire
test lifecycle and the system development lifecycle. The ATLM implementation takes place in parallel with the
system development lifecycle. For software professionals to make a successful leap to automated testing, they must
embrace structured approaches to testing. The ATLM is revolutionary in the fact that it promulgates a new
structured, building-block approach to the entire test lifecycle, which enables software test professionals to approach
software testing in a methodical and repeatable fashion.The growth of automated test capability has stemmed in
large part from the growing popularity of the iterative and incremental development lifecycle, a software
development methodology that focuses on minimizing the development schedule while providing frequent,
incremental software builds. The objective of this incremental and iterative development is to engage the user and
the test team early throughout the design and development of each build in order to refine the software, thereby
ensuring that it more closely reflects the needs and preferences of the user and thus addressing the riskiest aspects of
development in early builds.In this environment of continual changes and additions to the software through each
2. software build, software testing itself takes on an iterative nature. Each new build is accompanied by a considerable
number of new tests as well as rework to existing test scripts, just as there is rework on previously released software
modules. Given the continual changes and additions to software applications, especially Web applications,
automated software testing becomes an important control mechanism to ensure accuracy and stability of the software
through each build.The ATLM, invoked to support testing efforts involving automated test tools, incorporates a
multi-stage process. The methodology supports the detailed and interrelated activities that are required to decide
whether to acquire an automated testing tool. The methodology includes the process of how to introduce and utilize
an automated test tool, covers test development and test design, and addresses test execution and management. The
methodology also supports the development and management of test data and the test environment, and addresses
test documentation to include problem reports.The ATLM methodology represents a structured approach, which
depicts a process with which to approach and execute testing. This structured approach is necessary to help steer the
test team away from these common test program mistakes:
Implementing the use of an automated test tool without a testing process in place, resulting in an ad hoc, non-
repeatable, non-measurable test program.
Implementing a test design without following any design standards, resulting in the creation of test scripts that
are not repeatable and therefore not reusable for incremental software builds.
Attempting to automate 100% of test requirements, when tools or in-house–developed automated test harnesses
do not support automation of all tests required.
Using the wrong tool or developing a too-elaborate in-house test harness.
Initiating test tool implementation too late in the application-development lifecycle—not allowing sufficient
time for tool setup and test tool introduction process (learning curve).
Initiating test engineer involvement too late in the application-development lifecycle, resulting in poor
understanding of the application and system design, which results in incomplete testing.
The Automated Test Lifecycle Methodology (ATLM) comprises six primary processes or components:
1. Decision to Automate Testing
2. Test Tool Acquisition
3. Automated Testing Introduction Process
4. Test Planning, Design, and Development
5. Execution and Management of Tests
6. Test Program Review and Assessment
3. The following sections describe each primary process, as well as the subordinate processes contained within each
primary process.
Phase 1: Decision to Automate Testing
The decision to automate testing represents the first phase of the ATLM. This phase covers the entire process that
goes into the automated testing decision. During this phase, it’s important for the test team to manage automated
testing expectations and to outline the potential benefits of automated testing when implemented correctly. A test
tool proposal needs to be outlined, which will be helpful in acquiring management support.
Overcoming False Expectations for Automated Testing
While it has been proven that automated testing is valuable and can produce a successful return on investment, there
isn’t always an immediate payback on investment. It’s important to address some of the misconceptions that persist
in the software industry and to manage the automated testing utopia. Following is a list of just a few of the
misconceptions that need to be addressed. People often see test automation as a silver bullet; when they find that test
automation requires a significant short-term investment of time and energy to achieve a long-term return on
investment (ROI) of faster and cheaper regression testing (for example), the testing tool often becomes “shelfware.”
This is why it’s important to manage expectations in order to introduce automated testing correctly into a project.
Automatic Test Plan Generation
Currently, there is no commercially available tool that can automatically create a comprehensive test plan while
also supporting test design and execution.
Throughout a software test career, the test engineer can expect to witness test tool demonstrations and review an
abundant amount of test tool literature. Often the test engineer will be asked to stand before one or more senior
managers to give a test tool functionality overview. As always, the presenter must bear in mind the audience. In this
case, the audience may represent individuals with just enough technical knowledge to make them enthusiastic about
automated testing, while unaware of the complexity involved with an automated test effort. Specifically, the
managers may have obtained secondhand information about automated test tools, and may have reached the wrong
interpretation of the actual capability of automated test tools.What the audience at the management presentation may
be waiting to hear is that the tool you’re proposing automatically develops the test plan, designs and creates the test
procedures, executes all the test procedures, and analyzes the results automatically. Meanwhile, you start out the
presentation by informing the group that automated test tools should be viewed as enhancements to manual testing,
and that automated test tools will not automatically develop the test plan, design and create the test procedures, or
execute the test procedures.Shortly into the presentation and after several management questions, it becomes very
apparent just how much of a divide exists between the reality of the test tool capabilities and the perceptions of the
individuals in the audience. The term automated test tool seems to bring with it a great deal of wishful thinking that’s
4. not closely aligned with reality. An automated test tool will not replace the human factor necessary for testing a
product. The proficiencies of test engineers and other quality assurance experts will still be needed to keep the test
machinery running. A test tool can be viewed as an additional part of the machinery that supports the release of a
good product.
One Test Tool Fits All
Currently, no single test tool exists that can be used to support all operating system environments.
Generally, a single test tool will not fulfill all the testing requirements for an organization. Consider the experience of
one test engineer encountering such a situation. The test engineer was asked by a manager to find a test tool that
could be used to automate the testing of all the department’s applications. The department was using various
technologies including mainframe computers and Sun workstations; operating systems such as Windows 3.1,
Windows 95, Windows NT, and Windows 2000; programming languages such as Visual C++ and Visual Basic; other
client/server technologies; and Web technologies such as DHTML, XML, ASP, and so on.After conducting a tool
evaluation, the test engineer determined that the tool of choice was not compatible with the Visual C++ third-party
add-ons (in this case, Stingray grids). Another tool had to be brought in that was compatible with this specific
application.
Immediate Reduction in Schedule
An automated test tool will not immediately minimize the testing schedule.
Another automated test misconception is the expectation that the use of an automated testing tool on a new project
will immediately minimize the test schedule. The testing schedule will not experience the anticipated decrease at
first, and an allowance for schedule increase is required when initially introducing an automated test tool. This is due
to the fact that when rolling out an automated test tool, the current testing process has to be augmented or an entirely
new testing process has to be developed and implemented. The entire test team—and possibly the development
team—needs to become familiar with this new automated testing process (such as ATLM) and needs to follow it.
Once an automatic testing process has been established and effectively implemented, the project can expect to
experience gains in productivity and turnaround time that have a positive effect on schedule and cost.
Benefits of Automated Testing
The previous discussion points out and clarifies some of the false automated testing expectations that exist. The test
engineer will also need to be able to elaborate on the true benefits of automated testing, when automated testing is
implemented correctly and a process is followed. The test engineer must evaluate whether potential benefits fit
required improvement criteria and whether the pursuit of automated testing on the project is still a logical fit, given
the organizational needs. There are three significant automated test benefits (in combination with manual testing):
5. Producing a reliable system.
Improving the quality of the test effort.
Reducing test effort and minimizing schedule.Many return on investment case studies have been done with
regard to the implementation of automated testing. One example is a research effort conducted by imbus GmbH.
They conducted a test automation value study in order to collect test automation measurements with the purpose of
studying the benefits of test automation versus the implementation of manual test methods. Their research
determined that the breakeven point of automated testing is on average at 2.03 test runs. (T. Linz and M. Daigl, “GUI
Testing Made Painless: Implementation and Results of the ESSI Project Number 24306,” 1998.)
Acquiring Management Support
Whenever an organization tries to adopt a new technology, they encounter a significant effort when determining
how to apply it to their needs. Even with completed training, organizations wrestle with time-consuming false starts
before they become capable with the new technology. For the test team interested in implementing automated test
tools, the challenge is how to best present the case for a new test automation technology and its implementation to
the management team.Test engineers need to influence management’s expectations for the use of automated testing
on projects. Test engineers can help to manage expectations of others in the organization by forwarding helpful
information to the management staff. Bringing up test tool issues during strategy and planning meetings can also
help develop better understanding of test tool capabilities for everyone involved on a project or within the
organization. A test engineer can develop training material on the subject of automated testing and can advocate to
management that a seminar be scheduled to conduct the training.The first step in moving toward a decision to
automate testing on a project requires that the test team adjust management understanding of the appropriate
application of automated testing for the specific need at hand. For example, the test team needs to check early on
whether management is cost-averse and would be unwilling to accept the estimated cost of automated test tools for a
particular effort. If so, test personnel need to convince management about the potential return on investment by
conducting cost/benefit analysis.If management is willing to invest in an automated test tool, but is unable or
unwilling to staff a test team with individuals having the proper software skill level or to provide for adequate test
tool training, the test team needs to point out the risks involved and/or may need to reconsider a recommendation to
automate test.Management also needs to be made aware of the additional cost involved when introducing a new
tool—not only for the tool purchase, but for initial schedule/cost increase, additional training costs, and for enhancing
an existing testing process or implementing a new testing process.Test automation represents highly flexible
technology, which provides several ways to accomplish an objective. Use of this technology requires new ways of
thinking, which only amplifies the problem of test tool implementation. Many organizations can readily come up
with examples of their own experience of technology that failed to deliver on its potential because of the difficulty of
6. overcoming the “Now what?” syndrome. The issues that organizations face when adopting automated test systems
include those outlined below:
Finding/hiring test tool experts.
Using the correct tool for the task at hand.
Developing and implementing an automated testing process, which includes developing automated test design
and development standards.
Analyzing various applications to determine those that are best suited for automation.
Analyzing the test requirements to determine the ones suitable for automation.
Training the test team on the automated testing process, automated test design, development, and execution.
Initial increase in schedule and cost.
The Automated Testing Lifecycle Methodology (ATLM)
Article Information
Contents
1. Introducing the ATLM
2. Phase 1: Decision to Automate Testing
3. Phase 2: Test Tool Acquisition
4. Phase 3: Automated Testing Introduction Process
5. Phase 4: Test Planning, Design, and Development
6. Phase 5: Execution and Management of Tests
7. Phase 6: Test Program Review and Assessment
8. Summary
Phase 2: Test Tool Acquisition
Test tool acquisition represents the second phase of the ATLM. This phase guides the test engineer through the entire
test tool evaluation and selection process, starting with confirmation of management support. Since a tool should
support most of the organizations’ testing requirements, whenever feasible the test engineer will need to review the
7. system’s engineering environment and other organizational needs and come up with a list of tool evaluation criteria.
A review of the different types of tools available to support aspects of the entire testing lifecycle is provided in
Automated Software Testing: Introduction, Management, and Performance (as part of the ATLM), enabling
the reader to make an informed decision with regard to the types of tests to be performed on a particular project. The
test engineer then needs to define an evaluation domain to pilot the test tool. Finally, after all those steps have been
completed, the test engineer can make vendor contact to bring in the selected tool(s). Test personnel then evaluate the
tool, based on sample criteria provided.
Phase 3: Automated Testing Introduction Process
The process of introducing automated testing to a new project team constitutes the third phase of the ATLM. This
phase outlines the steps necessary to successfully introduce automated testing to a new project, which are
summarized in the following sections.Test Process AnalysisTest process analysis ensures that an overall test
process and strategy are in place and are modified, if necessary, to allow automated testing to be introduced in a
successful fashion. The test engineers define and collect test process metrics in order to allow for process
improvement. Here test goals/objectives and strategies need to be defined and test process needs to be documented
and communicated to the test team. In this phase, the kinds of testing applicable for the technical environment will be
defined, and tests are defined that can be supported by automated tools.During the test process analysis, techniques
are defined. Best practices are laid out, such as conducting performance testing during the unit-testing phase.Plans
for user involvement are assessed, and test team personnel skills are analyzed against test requirements and planned
test activities. Early test team participation is emphasized, supporting refinement of requirement specifications into
terms that can be adequately tested while also supporting test team understanding of application requirements and
design.
Test Tool Consideration
The test tool consideration process includes steps that investigate whether incorporation of automated test tools that
have been brought into the company without a specific project in mind now would be beneficial to a specific project,
given the project testing requirements, available test environment, personnel resources, user environment, platform,
and product features of the application under test. Schedule is reviewed to ensure sufficient time for test tool setup
and development of requirements hierarchy; potential test tools and utilities are mapped to test requirements, test
tool compatibility with the application and environment is verified, and workaround solutions are investigated for
incompatibility problems that surfaced during compatibility tests.
Phase 4: Test Planning, Design, and Development
Test planning, design, and development is the fourth phase of the ATLM. These subjects are summarized in the
following sections.Test PlanningThe test planning stage represents the need to review long–lead-time test planning
8. activities. During this phase, the test team identifies test procedure creation standards and guidelines; hardware,
software, and network required to support test environment; test data requirements; a preliminary test schedule;
performance measure requirements; a procedure to control test configuration and environment; as well as defect-
tracking procedure(s) and associated tracking tool(s).The test plan contains the results of each preliminary phase of
the structured test methodology (ATLM). The test plan will define roles and responsibilities, project test schedule,
test planning and design activities, test environment preparation, test risks and contingencies, and acceptable level of
thoroughness (test acceptance criteria). Test plan appendices may include test procedures, naming conventions, test
procedure format standards, and a test procedure traceability matrix.The test environment setup is part of test
planning. It represents the need to plan, track, and manage test environment setup activities, where material
procurements may have long lead times. The test team needs to schedule and track environment setup activities;
install test environment hardware, software, and network resources; integrate and install test environment resources;
obtain/refine test databases; and develop environment setup scripts and test bed scripts.
Test Design
The test design component addresses the need to define the number of tests to be performed, the ways that testing
will be approached (paths, functions), and the test conditions that need to be exercised. Test design standards need to
be defined and followed.An effective test program, incorporating the automation of software testing, involves a mini-
development lifecycle of its own, complete with strategy and goal planning, test requirement definition, analysis,
design, and coding. Similar to software application development, test requirements must be specified before test
design is constructed. Test requirements need to be clearly defined and documented, so that all project personnel will
understand the basis of the test effort. Test requirements are defined within requirement statements as an outcome of
test requirement analysis.After test requirements have been derived using the described techniques, test procedure
design can begin. Test procedure design consists of the definition of logical groups of test procedures and a naming
convention for the suite of test procedures. With a test procedure definition in place, each test procedure is then
identified as either an automated or a manual test. During the test planning phase, the test team gets an
understanding of the number of test techniques being employed and an estimate for the number of test procedures
that will be required. The test team also will have an estimate of the number of test procedures that will need to be
performed manually, as well as with an automated test tool.Much like a software development effort, the test
program must be mapped out and consciously designed to ensure that test activities performed represent the most
efficient and effective tests for the system under test. Test program resources are limited, yet ways of testing the
system are endless. A test design is developed to portray the test effort, in order to give project and test personnel a
mental framework on the boundary and scope of the test program.Following test analysis, the test team develops the
test program design models. The first of these design models, the test program model, consists of a graphical
illustration that depicts the scope of the test program. This model typically depicts the test techniques required to
support the dynamic test effort and also outline static test strategies.Having defined a test program model, the test
team constructs a test architecture, which depicts the structure of the test program and defines the way that test
9. procedures will be organized in support of the test effort.The next step in the test procedure design process (see Table
1) is to identify those test procedures that stand out as being more sophisticated, and as a result are required to be
defined further as part of detailed test design. These test procedures are flagged and a detailed design document is
prepared in support of the more sophisticated test procedures. Following detailed test design, test data requirements
are mapped against the defined test procedures. To create a repeatable, reusable process for producing test
procedures, the test team needs to create a document that outlines test procedure design standards. Only when these
standards are followed can the automated test program achieve real efficiency and success, by being repeatable and
maintainable.Table 1 Test Procedure Design Process
Step Description
1 Test Architecture Review. The test team reviews the test architecture in order to identify the test techniques that
apply.
2 Test Procedure Definition (Development Level). A test procedure definition is constructed at the development
test level, identifying the test procedure series that applies for the various design components and test
techniques.
3 Test Procedure Definition (System Level). A test procedure definition is constructed at the system test level,
identifying the test procedure series that applies for the various test techniques.
4 Test Procedure Design Standards. Design standards are adopted and a unique naming convention is adopted
that distinguishes the test procedures on the project from test procedures developed in the past or on other
projects.
5 Manual Versus Automated Tests. Test procedures will be depicted as being either performed manually or as
part of an automated test.
6 Test Procedures Flagged for Detailed Design. Test procedures that stand out as more sophisticated are flagged.
These test procedures are further defined as part of detailed test design.
7 Detailed Design. Those test procedures flagged as part of step 7 are designed in further detail within a detailed
test design file or document. Test procedure detailed design may consist of pseudo-code of algorithms,
preliminary test step definition, or pseudo-code of test automation programs.
8 Test Data Mapping. Test procedure matrix is modified to reflect test data requirements for each test procedure.
The exercise of developing the test procedure definition not only aids in test development, but helps to quantify or
bound the test effort. The development of the test procedure definition involves the identification of the suite of test
procedures that need to be developed and executed in support of the test effort. The design exercise involves the
organization of test procedures into logical groups and the definition of a naming convention for the suite of test
procedures.At the system level, it may be worthwhile to develop a detailed test design for sophisticated tests. These
tests might involve test procedures that perform complex algorithms, consist of both manual and automated steps,
and test programming scripts that are modified for use in multiple test procedures. The first step in the detailed
design process is to review the test procedure definition at the system test level. This review is conducted for the
purpose of identifying those test procedures that stand out as being more sophisticated and that, as a result, are
required to be defined further as part of detailed test design.Detailed test design may take the form of test program
pseudo-code, when test programming is required. The detailed design may be represented simply as a sequence of
steps that need to be performed in support of a test. When programming variables and multiple data values are
involved, the detailed design may reflect the programming construct of a loop supporting an iterative series of tests
10. involving different values, together with a list or table identifying the kinds of data or ranges of data required for the
test.Following the performance of detailed test design, test data requirements need to be mapped against the defined
test procedures. Once test data requirements are outlined, the test team needs to plan the means for obtaining,
generating, or developing the test data.The structure of the test program (test architecture) is commonly portrayed in
two ways. One test procedure organization method involves the logical grouping of test procedures with the system
application design components, and is referred to as a design-based test architecture. Another method represents a test
technique perspective and associates test procedures with the various kinds of test techniques represented within the
test program model, and is referred to as a technique-based test architecture.An understanding of test techniques is
necessary when developing test design and the test program design models. Personnel performing testing need to be
familiar with the test techniques associated with the white box and black box test-approach methods. White box test
techniques are aimed at exercising software program internals; black box techniques generally compare the
application under test behavior against requirements that address testing via established public interfaces such as the
user interface or the published application programming interface (API).
Test Development
For automated tests to be reusable, repeatable, and maintainable, test development standards need to be defined and
followed.After performing test analysis and design, the test team is now ready to perform test development.Keep in
mind that the test design and development activities follow an iterative and incremental approach, in order to
address the highest risk functionality up front. Table 2 correlates the development process phases to the test process
phases. The testing processes and steps outlined in the table are strategically aligned with the development process,
and the execution of these steps results in the refinement of test procedures at the same time as developers are
creating the software modules. Automated and/or manual test procedures are developed during the integration test
phase with the intention of reusing them during the system test phase.
Table 2 Development/Test Relationship
Phase Development Process Test Process
Module (Unit) Design module from requirements. Perform test planning and test environment setup.
Development
Code module. Create test design and develop test data.
Debug module. Write test scripts or record test scenario using module.
Unit test module. Debug automated test script by running against module.
Use tools that support unit testing.
Correct defects. Rerun automated test script to regression test as defects
are corrected.
Conduct performance testing. Verify that system is scalable and will meet performance
requirements.
Integration Build system by connecting Combine unit test scripts and add new scripts that
modules.Integration-test connected demonstrate module interconnectivity. Use test tool to
modules.Review trouble reports. support automated integration testing.
11. Correct defects and update defect Rerun automated test script as part of regression test, as
status. defects are corrected.
Continued performance testing Verify that system is scalable and will meet performance
activities. requirements.
System Test Review trouble reports. Integrate automated test scripts into system-level test
procedures where possible, and develop additional
system-level test procedures. Execute system test and
record test results.
Correct defects and update defect Rerun automated test script as part of regression test as
status. defects are corrected.
Acceptance Test Review incident reports. Perform subset of system test as part of demonstration of
user acceptance test.
Correct defects. Rerun automated test script as part of regression test as
defects are corrected.
Many preparation activities need to take place before test development can begin. A test development architecture is
developed (described in the next section), which provides the test team with a clear picture of the test development
preparation activities or building blocks necessary for the efficient creation of test procedures. The test team will need
to tailor the sample test development architecture to reflect the priorities of their particular project. Part of these setup
and preparation activities involves the need to track and manage test environment set up activities, where material
procurements may have long lead times. Prior to the commencement of test development, the test team also needs to
perform analysis to identify the potential for reuse of existing test procedures and scripts within the automation
infrastructure (reuse library).The test team needs to develop test procedures according to a test procedure
development/execution schedule. This schedule needs to allocate personnel resources and reflect development due
dates, among other factors. The test team needs to monitor development progress and produce progress status
reports. Prior to the creation of a complete suite of test procedures, the test team performs a modularity relationship
analysis. The results of this analysis help to incorporate data dependencies, plan for workflow dependencies between
tests, and identify common scripts that can be applied repeatedly to the test effort. As test procedures are being
developed, the test team needs to ensure that configuration control is performed for the entire test bed to include test
design, test scripts, and test data, as well as for each individual test procedure. The test bed needs to be baselined
using a configuration management tool.Test development involves the development of test procedures that are
maintainable, reusable, simple, and robust, which in itself can be as challenging as the development of the
application under test. Test procedure development standards need to be in place supporting structured and
consistent development of automated tests. Test development standards can be based on the scripting language
standards of a particular test tool. For example, Rational’s Robot uses SQABasic, a Visual Basic–like scripting
language, and therefore the script development standards could be based on the Visual Basic development
standards, outlined in a number of books on the subject.Usually internal development standards exist that can be
followed if the organization is developing in a language similar to the tool’s scripting language. The adoption or
slight modification of existing development standards is generally a better approach than creating a standard from
scratch. If no development standards exist within the organization for the particular tool scripting language, it’s
12. important for the test team to develop script development guidelines. Such guidelines can include directions on
context independence, which addresses the particular place where a test procedure should start and where it should
end. Additionally, modularity and reusability guidelines need to be addressed.By developing test procedures based
on development guidelines, the test team creates the initial building blocks for an automation infrastructure. The
automation infrastructure will eventually contain a library of common, reusable scripts. Throughout the test effort
and in future releases, the test engineer can make use of the automation infrastructure to support reuse of archived
test procedures, minimize duplication, and thus enhance the entire automation effort.
Test Development Architecture
Test team members responsible for test development need to be prepared with the proper materials. Test team
personnel need to follow a test development architecture that includes, for example, a listing of the test procedures
assigned to them and a listing of the outcome of automated versus manual test analysis. Also, test team personnel
need to decide when to automate. At times a test team might want to avoid automating using a GUI testing tool
before the interface—whether API, character UI, or GUI—is stabilized, to avoid having to reengineer the automated
tests in response to non–bug-related changes. At other times, the test team might find workaround solutions when
automating an unstable GUI, such as focusing automation on the known stable parts only.The test engineer needs to
adhere to the test procedure development and execution schedule, test design information, automated test tool user
manuals, and test procedure development guidelines. Armed with the proper instructions, documentation, and
guidelines, test engineers will have the foundation that allows them to develop a more cohesive and structured set of
test procedures. Repeating a process and repeatedly demonstrating a strong test program depends on the availability
of documented processes and standard guidelines such as the test development architecture.Figure 2 shows an
example of a graphical illustration containing the major activities to be performed as part of the test development
architecture. Test development starts with test environment setup and preparation activities, discussed earlier. Once
they’re concluded, the test team needs to make sure that all pertinent information necessary to support development
has been documented or gathered. The test team will need to tailor the sample test development architecture in
Figure 2 to reflect the priorities of their particular project. Note that Figure 2 should be read from bottom to
top.Figure 2 Building blocks of the test development architecture.
Technical Environment
Test procedure development needs to be preceded by several setup activities. The test development activity needs to
be supported by a technical environment, which facilitates the development of test procedures. As a result, the test
environment needs to be set up and ready to go. The test environment includes the technical environment, which
may include facility resources as well as the hardware and software necessary to support test development and
execution. The test team needs to ensure that there are enough workstations to support the entire team. The various
elements of the test environment need to be outlined within the test plan, as discussed earlier.Environment setup
activities can also include the use of an environment setup script to load test data or restore a drive image, and to
13. calibrate the test tool to the environment. When test tool compatibility problems arise with the application under test,
workaround solutions have to be identified. When developing test procedures, it’s important that the schedule for
developing test procedures is consistent with the test execution schedule. It’s also important that the test team follow
test procedure development guidelines.The test team must ensure that the proper test room or laboratory facilities
are reserved and set up. Once the physical environment is established, the test team ensures that all necessary
equipment is installed and operational. The test plan defined the required technical environment and addressed test
environment planning. Within the test environment section of the test plan, the test team has already identified
operational support required to install and check out the operational readiness of the technical environment. The test
team needs to ensure that operational support activities have been properly scheduled and must monitor progress of
these tasks.Specific tasks and potential issues outlined in the test plan should now have been addressed and resolved.
Such issues could include network installation, network server configuration and allocated disk space, network
access privileges, required desktop computer processing speed and memory, number and types of desktop
computers (clients), video resolution requirements, and any additional software required to support the application,
such as browser software. Automated test tools that apply should have been scheduled for installation and checkout.
These tools now should be configured to support the test team and be operational within the test environment.The
test environment setup activity includes the need to track and manage test environment setup activities, where
material procurements may have long lead times. These activities include the need to schedule and track
environment setup activities; install test environment hardware, software, and network resources; integrate and test-
install test environment resources; obtain/refine test databases; and develop environment setup scripts and test bed
scripts.The hardware supporting the test environment must be sufficient to ensure complete functionality of the
production application. Test environment hardware needs to be sufficient to support performance analysis. In cases
where the test environment utilizes hardware resources that are also supporting other development or management
activities, special arrangements may be necessary during actual performance testing. During system test, the software
configuration loaded within the test environment must be a complete, fully integrated release with no patches and no
disabled sections. The hardware configuration supporting the test environment needs to be designed to support
processing, storage, and retrieval activities, which may be performed across a local or wide area network, reflecting
the target environment.The test environment design also needs to consider stress testing requirements. Stress and
load tests may require the use of multiple workstations that will run multiple test procedures simultaneously; some
automated test tools include a virtual user simulation functionality that eliminates or minimizes the need for multiple
workstations.Test data will need to be obtained with enough lead time to support refinement and manipulation to
support test requirements. Data preparation activities include the identification of conversion data requirements, the
preprocessing of raw data files, loading of temporary tables—possibly in a relational database management system
format, and the performance of consistency checks. Identifying conversion data requirements involves performing in-
depth analysis on data elements, which includes defining data-mapping criteria, clarifying data-element definitions,
confirming primary keys, and defining data-acceptable parameters.During test planning, the test team defined and
14. scheduled the test environment activities. Now the team needs to track the test environment setup activities.
Resources need to be identified to install hardware, software, and network resources into the test environment and
integrate and test installed test environment resources. The test environment materials and the application under test
need to be baselined within a configuration management tool. Additionally, test environment materials may include
test data and test processes.The test team needs to obtain and modify test databases necessary to exercise software
applications, and develop environment setup scripts and test bed scripts. The test team should perform product
reviews and validation of all test source materials. The location of the test environment for each project or task should
be defined within the test plan for each project. Early identification of the test site is critical to cost-effective test
environment planning and development.
Phase 5: Execution and Management of Tests
At this stage, the test team has addressed test design and test development. Test procedures are now ready to be
executed in support of exercising the application under test. Also, test environment setup planning and
implementation was addressed consistent with the test requirements and guidelines provided within the test
plan.With the test plan in hand and the test environment now operational, it’s time to execute the tests defined for
the test program. When executing test procedures, the test team must comply with a test procedure execution
schedule, as discussed earlier. The test procedure execution schedule implements the strategy defined within the test
plan. Plans for unit, integration, system, and user acceptance testing are executed. Together, these testing phases
make up the steps that are required to test the system as a whole. The various steps involved during execution and
management of tests are outlined below.
When executing test procedures, the test team needs to comply with a test procedure execution schedule.
Following test execution, test outcome evaluations are performed and test result documentation is prepared.
Plans for unit, integration, system, and user acceptance testing are executed, which together make up the steps
that are required to test the system as a whole. During the unit test phase, code profiling can be performed.
Traditionally, profiling is a tuning process that determines whether an algorithm is inefficient or a function is being
called too frequently. Profiling can discover instances where there is improper scaling of algorithms, instantiations,
and resource utilization.
Integration testing is performed, which focuses on the application internals. During integration testing, units are
incrementally integrated and tested together based on control flow. Since units may consist of other units, some
integration testing, also called module testing, may take place during unit testing.
During system test, the test engineer is testing the integration of parts that comprise the entire system. A
separate test team usually performs system-level tests. The test team implements the test procedure execution
schedule and the system test plan.
15. The test team also performs analysis to identify particular components or functionality that are experiencing a
greater relative number of problem reports. As a result of this analysis, additional test procedures and test effort may
need to be assigned to the components. Test results analysis can also confirm whether executed test procedures are
proving to be worthwhile in terms of identifying errors.
Each test team needs to perform problem-reporting operations in compliance with a defined process. The
documentation and tracking of software problem reports is greatly facilitated by an automated defect-tracking tool.
The test team manager is responsible for ensuring that tests are executed according to schedule, and test
personnel are allocated and redirected when necessary to handle problems that arise during the test effort. To
perform this oversight function effectively, the test manager needs to perform test program status tracking and
management reporting.
Test metrics provide the test manager with key indicators of the test coverage, progress, and the quality of the
test effort. During white box testing, the test engineer measures the depth of testing, by collecting data relative to path
coverage and test coverage. During black box testing, metrics collection focuses on the breadth of testing, to include
the amount of demonstrated functionality and the amount of testing that has been performed.
Phase 6: Test Program Review and Assessment
Test program review and assessment activities need to be conducted throughout the testing lifecycle, to allow for
continuous improvement activities. Throughout the testing lifecycle and following test execution activities, metrics
need to be evaluated and final review and assessment activities need to be conducted to allow for process
improvement. The various steps necessary for test program review and assessment are outlined below.
Following test execution, the test team needs to review the performance of the test program to determine where
changes can be implemented to improve the test program performance on the next project. This test program review
represents the final phase of the Automated Test Lifecycle Methodology (ATLM).
Throughout the test program, the test team collected various test metrics. The focus of the test program review
includes an assessment of whether the application satisfies acceptance criteria and is ready to go into production. The
review also includes an evaluation of earned value progress measurements and other metrics collected.
As part of its culture, the test team needs to adopt an ongoing iterative process of lessons learned activities. Such a
program encourages test engineers to take the responsibility to raise corrective action proposals immediately, when
such actions potentially have significant impact on test program performance. Throughout the entire test lifecycle, it’s
good practice to document and begin to evaluate lessons learned at each milestone. The metrics that are collected
throughout the test lifecycle and especially during the test execution phase help pinpoint problems that need to be
addressed.
16. Lessons learned, metrics evaluations, and corresponding improvement activity or corrective action need to be
documented throughout the entire test process in a central repository that’s easily accessible.
After collecting lessons learned and other metrics, and defining corrective actions, test engineers also need to
assess the effectiveness of the test program to include an evaluation of the test program return on investment. Test
engineers capture measures of the benefits of automation realized throughout the test lifecycle in order to support
this assessment.
Test teams can perform their own surveys to inquire about the potential value of process and tool changes. A
survey form can be used to solicit feedback on the potential use of requirement-management tools, design tools, and
development tools. Surveys are helpful to identify potential misconceptions and gather positive feedback.
Summary
ATLM is a structured methodology geared toward ensuring successful implementation of automated testing. The
ATLM approach mirrors the benefits of modern rapid application development efforts, where such efforts engage the
user early in the development cycle. The end user of the software product is actively involved throughout analysis,
design, development, and test of each software build, which is augmented in an incremental fashion.Rational
Corporation lists Automated Software Testing: Introduction, Management, and Performance and the ATLM
as recommended reading as part of the Rational Unified Process. Many universities and professional software test
training organizations have adopted the book for their classroom. Many companies (such as Imbus GMBH,
Moehrendorf, Germany) have adopted the book and ATLM as their company standard for automated software
testing. Others believe that industry automated test tool vendors will soon be incorporating the book’s structured
methodology within their tools. Instead of performing the entire test lifecycle haphazardly, software test managers
will use an ATLM-compliant test tool that automatically supports (and possibly enforces) the book’s sound building-
block approach to the test effort.