The document provides an overview of quality assurance and software testing processes. It describes key concepts like requirements gathering, test planning, test case development, defect reporting, retesting and sign off. It also covers quality standards, software development life cycles, testing methodologies, documentation artifacts, and project management structures.
This document discusses adapting testing roles and processes to an agile development methodology. It notes that in agile, testers are full team members who participate in planning and requirements analysis from the start of each sprint. Testing activities occur throughout development rather than just at the end. Challenges in transitioning include changing traditional testing roles and resistance to change, while benefits include more transparent communication and continuous feedback between testers and developers. The document provides examples of agile testing practices and recommendations for improving testing efficiency such as increased test automation and planning.
Presented on Poznań University of Technology where I had a lecture for students how to choose test approach.
Slides from Software Testing Techniques course offered at Kansas State University in Spring'16 and Spring'17. Entire course material can be found at https://github.com/rvprasad/software-testing-course.
Software Testing Life Cycle refers to 6 phases of the software testing process. Learn about each phase of STLC in-depth in our article. (Source: https://www.goodcore.co.uk/blog/software-testing-life-cycle/)
The document discusses the testing life cycle process. It involves testing activities from the beginning of a project through requirements, design, development, integration testing, system testing, and release. Key phases include test planning, case design, execution, and using various testing types and tools. An effective testing team has defined roles and responsibilities throughout the project life cycle.
Testing is the process of validating and verifying software to ensure it meets specifications and functions as intended. There are different levels of testing including unit, integration, system, and acceptance testing. An important part of testing is having a test plan that outlines the test strategy, cases, and process to be followed. Testing helps find defects so the product can be improved.
Unit testing involves testing individual units or components of code to ensure they work as intended. It focuses on testing functional correctness, error handling, and input/output values. The main benefits are faster debugging, easier integration testing, and living documentation. Guidelines for effective unit testing include writing automated, independent, focused tests that cover boundaries and are easy to run and maintain.
Software testing involves verifying that software meets requirements and works as intended. There are various testing types including unit, integration, system, and acceptance testing. Testing methodologies include black box testing without viewing code and white box testing using internal knowledge. The goal is to find bugs early and ensure software reliability.
The document discusses QA best practices in an Agile development environment. It describes key aspects of Agile like iterative delivery, self-organizing teams, and rapid feedback. It addresses challenges of fitting QA into short iterations and questions around testing approaches. The document advocates for testing to be collaborative, automated, and continuous throughout development. It provides recommendations for QA roles in activities like planning, stand-ups, retrospectives and acceptance testing. Overall it promotes testing practices in Agile that focus on early feedback, automation, and involvement of QA throughout the development process.
This document discusses introducing quality assurance (QA) processes into an agile development environment. It describes some common challenges that can arise when development and testing are not well integrated, such as business stakeholders finding bugs late in the process. The author advocates for making QA practices and results visible and incorporating QA personnel into agile ceremonies like planning and demos. With collaboration, commitment to quality, and clear communication, the QA team was able to gain trust and find bugs earlier. Their approach evolved to take on more types of testing, and they worked with business to define different testing levels and work testing around releases.
Testing software is conducted to ensure the system meets user needs and requirements. The primary objectives of testing are to verify that the right system was built according to specifications and that it was built correctly. Testing helps instill user confidence, ensures functionality and performance, and identifies any issues where the system does not meet specifications. Different types of testing include unit, integration, system, and user acceptance testing, which are done at various stages of the software development life cycle.
The document discusses various topics related to software quality assurance including: 1) It defines key terms like correctness, reliability, testing, failure, error, fault, debugging, verification, and validation. 2) It describes the differences between quality assurance (focusing on processes) and quality control (focusing on products), and lists some common quality assurance/control activities like testing, inspections, and reviews. 3) It provides an overview of a software development lifecycle including requirements, planning, design, coding, testing phases.
The document discusses testing best practices for rich client applications. It outlines the challenges of testing user interfaces and interactions. It then describes different levels of testing from ad hoc to crowdsourcing. Unit testing, continuous integration, and automated functional testing are explained. The current state of testing tools for Titanium is presented along with a demo. Future directions including more automation and crowdsourced testing are envisioned.
The document discusses verification and validation (V&V) in software engineering. It defines verification as ensuring a product is built correctly, and validation as ensuring the right product is built. V&V aims to discover defects and assess if a system is usable. Static and dynamic verification methods are covered, including inspections, testing, and automated analysis. The document outlines V&V goals, the debugging process, V-model development, test planning, and inspection techniques.
Based on V-Model (Extention of Waterfall model). It describes Test Process. Including Test process,strategy,R&R,Testing model and techniques.
This document outlines the testing strategy and process for a software project. It includes details about sprint timelines, testing artifacts, test methods, test types, definitions of done, and bug prioritization. The testing process involves smoke testing, unit/selenium tests, main testing, regression testing, and testing reports. Test methods include manual functional testing and automated functional testing. Test types cover new features, risk, interfaces, compatibility, permissions, and notifications. Bugs are prioritized as blocker, critical, major, or minor.
This document provides an overview of fundamentals of software testing. It discusses why testing is necessary, defines key terms like errors, defects and failures. It describes the context in which software is used and how defects can impact systems. The seven principles of testing and fundamental test process involving planning, analysis, implementation and reporting are explained. Psychological aspects of testing and principles of ethical code are also covered at a high level.
After doing testing on multiple Agile projects, I have come to realize certain aspects about the process and techniques that are common across projects. Some things I have learned along the way, some, by reflection on the mistakes / sub-optimal things that I did. I have written and published my thoughts around the "Agile QA Process", more particularly what techniques can be used to test effectively in the Iterations.
This document discusses ideas, techniques and tools for improving the quality of written code. It defines code quality, explains why it is important, and how to measure it using metrics like cyclomatic complexity and Halstead metrics. It provides suggestions for improving quality such as code reviews, documentation, readability, testing and learning Python best practices. Tools mentioned include Radon, Pylint and CheckIO for static analysis and style checking.
The document discusses various ways to measure code quality, including objective and subjective metrics. It describes metrics like cyclomatic complexity, Halstead metrics, and NPATH complexity which measure different aspects of code such as complexity, readability, maintainability, and testability. The document also discusses tools that can analyze code quality and produce reports on lines of code, arguments per function, and other metrics. Overall, the document provides an overview of different techniques for measuring code quality both quantitatively and qualitatively.
Medical device manufacturers operate in a competitive marketplace with increasing end-user demands for features and usability and in a highly regulated environment. Regulatory bodies look for evidence that medical devices are developed under a structured, quality-oriented development process. By following software validation and verification best practices, one can not only increase the likelihood that they will meet their compliance goals, they can also enhance developer productivity.
This document introduces d4, a charting DSL for D3 that aims to provide reusable chart components ("jigs") to simplify the creation of visualizations. It discusses key insights around treating charts as templates to guide data through D3, favoring context over configuration, and separating concerns between design and code. Features include base chart definitions, parsers to prepare data, and methods to add, remove or style features directly on the chart object. The goal is to reduce complexity and boost productivity for visualization development with D3.
This presentation introduces the principles of high-quality programming code construction during the software development process. The quality of the code is discussed in its most important characteristics – correctness, readability and maintainability. The principles of construction of high-quality class hierarchies, classes and methods are explained. Two fundamental concepts – “loose coupling” and “strong cohesion” are defined and their effect on the construction of classes and subroutines is discussed. Some advices for correctly dealing with the variables and data are given, as well as directions for correct naming of the variables and the rest elements of the program. Best practices for organization of the logical programming constructs are explained. Attention is given also to the “refactoring” as a technique for improving the quality of the existing code. The principles of good formatting of the code are defined and explained. The concept of “self-documenting code” as a programming style is introduced.
Quality is main aspect in Pre engineered steel buildings. it is applicable to each and every parameter of PEB design. while manufacturing a PEB , it is essential to maintain QAP. for more details visit http://www.mbphenix.com
A presenetation on basics of software testing, explaining the software development life cycle and steps invovled in it and detials about each step from the testing point of view.
A presenetation on basics of software testing, explaining the software development life cycle and steps invovled in it and detials about each step from the testing point of view.
automated testing with vs2010 ... test case specification, execution, automation and test infrastructure with VS2010 CodedUI and Lab management
1. The document discusses software testing throughout the software development life cycle. It describes various software development models like the V-model and iterative life cycles. 2. It emphasizes that testing should begin early in the development process and there should be corresponding testing activities for every development activity. Each test level should have specific objectives. 3. The document covers different test levels like component, integration, system and acceptance testing. It also discusses test types like functional, non-functional, structural, and regression testing.
Object Oriented Testing and Test-Driven Development discusses testing at various stages of the software development life cycle. It covers strategies for testing analysis and design models, as well as object-oriented code through class tests, integration tests, validation tests, and system tests. Test-driven development advocates writing tests before code to help constrain design and increase reliability. Overall, the document emphasizes that testing should begin early and continue through all phases of development.