Verification ensures that software is designed correctly by evaluating documents, plans, code, and requirements. It occurs early in development and checks for consistency. Validation determines if final software meets customer needs and requirements by testing the actual product later in development. Both processes are important to catch errors, improve quality, and deliver the right product to customers.
In this session you will learn:
Overview of Testing Life Cycle
Testing Methodologies
Black Box Testing
White Box Testing
Gray Box Testing
Integration Testing
System Testing
Regression Testing
User Acceptance Testing (UAT)
For more information: https://www.mindsmapped.com/courses/quality-assurance/qa-software-testing-training-for-beginners/
Software testing is an investigation conducted to provide stakeholders with information about the quality of the product or service under test. I hope this ppt will help u to learn about software testing.
The document discusses software testing and provides details on various aspects of software testing such as:
1) The objectives of software testing including uncovering errors, demonstrating software matches requirements, and validating quality with minimum cost.
2) Different levels of software testing from unit to integration to system testing.
3) Key aspects of software testing like test plans, test cases, test types (black box vs white box), and testing methodologies.
Functional testing verifies that a software application performs according to its design specifications by checking functions, APIs, databases, security, and client/server interactions. It can be done manually or through automation. Some techniques included are unit testing, smoke testing, integration testing, interface and usability testing, regression testing, user acceptance testing, white box testing, globalization testing, and localization testing. Precise Testing Solution offers various functional testing services to clients.
This document provides an overview of software development lifecycles and testing. It discusses the typical phases of the SDLC, including planning, analysis, design, implementation, and maintenance. It describes two common SDLC methodologies: the waterfall model and agile/scrum model. It also defines different types of testing like static vs dynamic, verification vs validation, functional testing, regression testing, and smoke testing. Finally, it provides details on unit, integration, system, and user acceptance testing.
This document discusses different types of software testing including unit testing, integration testing, system testing, acceptance testing, functional testing, non-functional testing, user interface testing, usability testing, accessibility testing, localization testing, performance testing, load testing, stress testing, compatibility testing, cross-browser testing, security testing, negative testing, re-testing, and regression testing. It provides details on the purpose and goals of each testing type.
This document summarizes a chapter on software verification and validation from a software engineering textbook. It discusses the objectives of verification and validation, including the distinction between verification (checking that the product is built right) and validation (checking that the right product is built). It also describes techniques like software inspections, testing, and static analysis that can be used for verification and validation. The overall goals of verification and validation are to establish confidence that the software is fit for its intended purpose.
Validation ensures the system meets specifications, while verification checks that the correct system was built. Common verification and validation activities include reviews, testing, and formal verification. Testing is the process of running a program with test cases to find errors by comparing the program's behavior to expected behavior, with the objective of detecting defects.
Fundamentals of software testing, testing levels and types, testing throughout the software life-cycle, bug report and bug severity.
Automated tests via selenium web-driver with a demo.
The document discusses two tools for software verification and validation (V&V): NUnit and Mercury Quality Center (MQC).
NUnit is an open source unit testing framework for .NET applications. It allows developers to write unit tests to verify code meets design conditions. NUnit supports IDE integration, assertions, attributes, configurations and multiple assembly testing. It is used during implementation to facilitate code verification.
MQC is a web-based test management tool for organizing testing projects. It allows requirements management, test planning, case authoring, execution, and defect tracking. Various roles can access modules for requirements, tests, execution, and defects. Reports can be generated on results. It integrates with other tools and facilitates
Software testing involves executing software components to evaluate properties against requirements. It identifies errors and ensures quality. Benefits include lower costs from early bug detection, improved security, quality, and customer satisfaction. Testing strategies include unit, integration, and system testing. Types are functional, non-functional, and regression/maintenance testing. Methodologies are white-box and black-box testing. The software testing lifecycle has phases for requirements, design, execution, closure, and analysis. Performance testing types include stress, volume, configuration, compatibility, regression, recovery, and usability testing.
Verification ensures that software is developed according to specifications through static testing methods like reviews and walkthroughs. It checks that the code matches requirements but does not execute it. Validation determines if the final product meets intended use by executing the code and getting stakeholder feedback. It is dynamic and ensures the right system was built to satisfy stakeholders. The main difference is that verification checks for correctness during development while validation checks if the final product fulfills its intended use.
The document discusses software testing. It defines software testing as verifying and validating that a software application meets requirements and works as expected. The main purposes of testing are verification, validation, and defect finding. Verification ensures the software meets technical specifications, while validation ensures it meets business requirements. Defect finding identifies variances between expected and actual results. The document also discusses different testing methodologies like black box and white box testing and different testing levels like unit, integration, and system testing.
Verification and validation process in software testing
Students are often confused between the verification and validation process, as far as Software Testing is concerned. Let us initially define both the processes.
Testing is the process of evaluating a system or its components to identify differences between expected and actual results. It involves executing a system to identify gaps, errors, or missing requirements. There are different types of testing such as unit testing, integration testing, system testing, and acceptance testing. Testing can be manual, automated, functional, or non-functional. Functional testing evaluates system functionality while non-functional testing evaluates attributes like performance and security. Common non-functional test types are load testing and stress testing which analyze a system's behavior under different load conditions.
Testing Throughout the Software Life Cycle - Section 2
COURSE IS NOW FULLY AVAILABLE AND LIVE HERE: https://goo.gl/gVukvc
What you will learn in this second section
Software Testing Methodologies. Waterfall, V-Model and Iterative
What is unity or component system testing
What is integration, system and acceptance means
Differences between functional and non-functional testing
What is a structural testing
Change-related testing
Maintenance testing
Access my blog for much more material and the mock exams.
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The document discusses automated software testing, including the process of automated testing, advantages and disadvantages, and choosing automation tools. It notes that automation can reduce human involvement in repetitive tasks, help eliminate human error, and enable more reliable, reusable, and faster testing at lower cost. However, high upfront investment is required along with significant resources for test preparation. Key factors for choosing tools include ease of integration, compatibility, performance, and types of tests supported.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
The document discusses different strategies for software testing. It describes unit testing starting at the component level and progressing outward to integration, validation, and system testing. Validation testing ensures requirements are met through criteria like functional testing and alpha/beta testing with end users. Verification tests that the product is built correctly while validation ensures the correct product is built.
The Role of Verification and Validation in System Development Life Cycle
Verification and validation (V&V) are important parts of the system development life cycle that help ensure software quality. Verification determines if the product meets requirements, while validation checks if it fulfills its intended purpose. V&V techniques include reviews, testing, and audits at all phases of development. Proper V&V helps deliver high quality software that satisfies client needs on time.
Testing is the process of executing a program with the intention of finding errors. Software testing is an analysis that gives data to estimate quality and includes executing programs to find bugs. Testing is done by software testers, developers, project leads, and end users and includes both manual and automated methods. Functional testing examines a system's functionality against requirements while non-functional testing examines reliability, efficiency and other non-functional aspects.
Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not. In simple words, testing is executing a system in order to identify any gaps, errors, or missing requirements in contrary to the actual requirements.
Testing is the process of evaluating a system or its components to identify errors or gaps between expected and actual results. It can be done manually or through automation. There are different types of testing like unit testing, integration testing, system testing, and acceptance testing. Testing also includes functional testing to check system requirements and non-functional testing to evaluate performance. Key aspects of testing include the software development life cycle (SDLC) and different models like waterfall, prototyping, incremental, spiral, and agile.
Here we are discussing the worth of software testing i.e how testing improves the quality of any product before its launching. You will also learn techniques of software testing in brief and benefits .
This document provides an overview of various types of software testing techniques, including static testing, dynamic testing, regression testing, usability testing, and accessibility testing. Static testing involves evaluating code and documentation without executing the program, while dynamic testing assesses software performance and functionality by executing it under different conditions. Regression testing verifies that new code changes do not negatively impact existing features. Usability and accessibility testing evaluate how real users interact with a product to complete tasks.
Exploring Different Types of QA Methods_ An Overview.pdf
Quality assurance may sound like a reserved term for software developers, but it’s a crucial concept for any industry that strives for excellence.
QA is the systematic approach of ensuring that products or services consistently meet predefined standards and customer expectations.
The document discusses software quality and assurance. It defines software as computer programs, procedures, and documentation pertaining to computer system operation. Software quality means meeting requirements and adding value. Quality is important for business survival and competitiveness. Software quality assurance involves activities to ensure software meets criteria and attributes. It includes verification and validation. Verification ensures each development step delivers the correct product while validation ensures software meets user requirements.
software testing is necessary to make sure the product or application is defect free, as per customer specifications. Software testing identifies fault whose removal increases the software Quality and Increases the software reliability.Testing effort is directly proportional to the complexity of the program.
This is the power point presentation on Software Testing. Software Testing is the process of finding error or bug in the developed software product based on the client requirement.
This power point presentation give the basic knowledge about the software testing.
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The document discusses the Software Testing Life Cycle (STLC) and compares it to the Software Development Life Cycle (SDLC). It outlines the key phases of the STLC including test planning, test environment setup, test case creation and execution, bug reporting, analysis and fixing. Validation ensures the product meets requirements while verification checks if it is built correctly. Common verification techniques discussed are reviews, inspections, walkthroughs, and testing approaches like unit testing, integration testing, system testing. The V-model is also summarized which involves creating test plans and documents at each stage to test the product as it is developed.
20MCE14_Software Testing and Quality Assurance Notes.pdf
The document discusses principles of software testing and phases of a software project. It covers the fundamentals of testing including principles like finding defects before customers and that exhaustive testing is not possible. It outlines typical phases of a software project like requirements gathering, planning, design, development, testing, and deployment. It also discusses quality assurance versus quality control. White box testing techniques like static testing and structural testing are explained.
Software testing is the primary process that to learn by all the beginners who are aspiring about testing. It is a process that we want to find the errors during the time of program or application executes. It is also said to be the validating and verifying the software implementation and program. The testing is mainly following during the time of validating product quality. The best software testing course is providing by the instructors under different categories for the learners to learn more about the details on testing. Here some of the sessions are to be following such as technology without coding, tester foundation level training for the beginners, etc.
This document provides an introduction to software testing. It defines software testing as a process used to identify correctness, completeness, and quality of computer software. The key points covered include: why software testing is important; who should be involved in testing; when testing should start and stop in the software development lifecycle; the differences between verification and validation; types of errors; types of testing including manual and automation; methods like black box and white box testing; levels of testing from unit to acceptance; and definitions of test plans and test cases.
The document discusses quality management in software development. It describes the three main components of quality management as quality assurance, quality control, and quality improvement. Quality assurance focuses on establishing processes to ensure quality, while quality control examines outputs to ensure they meet requirements. The software development lifecycle involves requirements analysis, design, coding, testing, implementation, and maintenance phases to develop quality software. Different testing methods like black box, white box, and grey box testing are used during the testing phase.
This document discusses software testing. It defines software testing as evaluating a system to determine if it meets requirements. It then discusses different types of testing like unit testing, integration testing, system testing, and acceptance testing. It also covers testing techniques like black box testing, which focuses on functionality without knowing internal design, and white box testing, which tests internal program structure. Finally, it discusses testing at different levels like unit, integration, system, and acceptance testing and the importance of regression testing when changes are made.
Unblocking The Main Thread - Solving ANRs and Frozen Frames
In the realm of Android development, the main thread is our stage, but too often, it becomes a battleground where performance issues arise, leading to ANRS, frozen frames, and sluggish Uls. As we strive for excellence in user experience, understanding and optimizing the main thread becomes essential to prevent these common perforrmance bottlenecks. We have strategies and best practices for keeping the main thread uncluttered. We'll examine the root causes of performance issues and techniques for monitoring and improving main thread health as wel as app performance. In this talk, participants will walk away with practical knowledge on enhancing app performance by mastering the main thread. We'll share proven approaches to eliminate real-life ANRS and frozen frames to build apps that deliver butter smooth experience.
Profiling of Cafe Business in Talavera, Nueva Ecija: A Basis for Development ...
This study aimed to profile the coffee shops in Talavera, Nueva Ecija, to develop a standardized checklist for aspiring entrepreneurs. The researchers surveyed 10 coffee shop owners in the municipality of Talavera. Through surveys, the researchers delved into the Owner's Demographic, Business details, Financial Requirements, and other requirements needed to consider starting up a coffee shop. Furthermore, through accurate analysis, the data obtained from the coffee shop owners are arranged to derive key insights. By analyzing this data, the study identifies best practices associated with start-up coffee shops’ profitability in Talavera. These findings were translated into a standardized checklist outlining essential procedures including the lists of equipment needed, financial requirements, and the Traditional and Social Media Marketing techniques. This standardized checklist served as a valuable tool for aspiring and existing coffee shop owners in Talavera, streamlining operations, ensuring consistency, and contributing to business success.
The rapid advancements in artificial intelligence and natural language processing have significantly transformed human-computer interactions. This thesis presents the design, development, and evaluation of an intelligent chatbot capable of engaging in natural and meaningful conversations with users. The chatbot leverages state-of-the-art deep learning techniques, including transformer-based architectures, to understand and generate human-like responses.
Key contributions of this research include the implementation of a context- aware conversational model that can maintain coherent dialogue over extended interactions. The chatbot's performance is evaluated through both automated metrics and user studies, demonstrating its effectiveness in various applications such as customer service, mental health support, and educational assistance. Additionally, ethical considerations and potential biases in chatbot responses are examined to ensure the responsible deployment of this technology.
The findings of this thesis highlight the potential of intelligent chatbots to enhance user experience and provide valuable insights for future developments in conversational AI.
Understanding Cybersecurity Breaches: Causes, Consequences, and Prevention
Cybersecurity breaches are a growing threat in today’s interconnected digital landscape, affecting individuals, businesses, and governments alike. These breaches compromise sensitive information and erode trust in online services and systems. Understanding the causes, consequences, and prevention strategies of cybersecurity breaches is crucial to protect against these pervasive risks.
Cybersecurity breaches refer to unauthorized access, manipulation, or destruction of digital information or systems. They can occur through various means such as malware, phishing attacks, insider threats, and vulnerabilities in software or hardware. Once a breach happens, cybercriminals can exploit the compromised data for financial gain, espionage, or sabotage. Causes of breaches include software and hardware vulnerabilities, phishing attacks, insider threats, weak passwords, and a lack of security awareness.
The consequences of cybersecurity breaches are severe. Financial loss is a significant impact, as organizations face theft of funds, legal fees, and repair costs. Breaches also damage reputations, leading to a loss of trust among customers, partners, and stakeholders. Regulatory penalties are another consequence, with hefty fines imposed for non-compliance with data protection regulations. Intellectual property theft undermines innovation and competitiveness, while disruptions of critical services like healthcare and utilities impact public safety and well-being.
In May 2024, globally renowned natural diamond crafting company Shree Ramkrishna Exports Pvt. Ltd. (SRK) became the first company in the world to achieve GNFZ’s final net zero certification for existing buildings, for its two two flagship crafting facilities SRK House and SRK Empire. Initially targeting 2030 to reach net zero, SRK joined forces with the Global Network for Zero (GNFZ) to accelerate its target to 2024 — a trailblazing achievement toward emissions elimination.
Conservation of Taksar through Economic Regeneration
This was our 9th Sem Design Studio Project, introduced as Conservation of Taksar Bazar, Bhojpur, an ancient city famous for Taksar- Making Coins. Taksar Bazaar has a civilization of Newars shifted from Patan, with huge socio-economic and cultural significance having a settlement of about 300 years. But in the present scenario, Taksar Bazar has lost its charm and importance, due to various reasons like, migration, unemployment, shift of economic activities to Bhojpur and many more. The scenario was so pityful that when we went to make inventories, take survey and study the site, the people and the context, we barely found any youth of our age! Many houses were vacant, the earthquake devasted and ruined heritages.
Conservation of those heritages, ancient marvels,a nd history was in dire need, so we proposed the Conservation of Taksar through economic regeneration because the lack of economy was the main reason for the people to leave the settlement and the reason for the overall declination.
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large...
Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. However, code-oriented LLMs are often heavy in computational complexity, and quadratically with the length of the input code sequence. Toward simplifying the input program of an LLM, the state-of-the-art approach has the strategies to filter the input code tokens based on the attention scores given by the LLM. The decision to simplify the input program should not rely on the attention patterns of an LLM, as these patterns are influenced by both the model architecture and the pre-training dataset. Since the model and dataset are part of the solution domain, not the problem domain where the input program belongs, the outcome may differ when the model is trained on a different dataset. We propose SlimCode, a model-agnostic code simplification solution for LLMs that depends on the nature of input code tokens. As an empirical study on the LLMs including CodeBERT, CodeT5, and GPT-4 for two main tasks: code search and summarization. We reported that 1) the reduction ratio of code has a linear-like relation with the saving ratio on training time, 2) the impact of categorized tokens on code simplification can vary significantly, 3) the impact of categorized tokens on code simplification is task-specific but model-agnostic, and 4) the above findings hold for the paradigm–prompt engineering and interactive in-context learning and this study can save reduce the cost of invoking GPT-4 by 24%per API query. Importantly, SlimCode simplifies the input code with its greedy strategy and can obtain at most 133 times faster than the state-of-the-art technique with a significant improvement. This paper calls for a new direction on code-based, model-agnostic code simplification solutions to further empower LLMs.
Exploring Deep Learning Models for Image Recognition: A Comparative Review
Image recognition, which comes under Artificial Intelligence (AI) is a critical aspect of computer vision,
enabling computers or other computing devices to identify and categorize objects within images. Among
numerous fields of life, food processing is an important area, in which image processing plays a vital role,
both for producers and consumers. This study focuses on the binary classification of strawberries, where
images are sorted into one of two categories. We Utilized a dataset of strawberry images for this study; we
aim to determine the effectiveness of different models in identifying whether an image contains
strawberries. This research has practical applications in fields such as agriculture and quality control. We
compared various popular deep learning models, including MobileNetV2, Convolutional Neural Networks
(CNN), and DenseNet121, for binary classification of strawberry images. The accuracy achieved by
MobileNetV2 is 96.7%, CNN is 99.8%, and DenseNet121 is 93.6%. Through rigorous testing and analysis,
our results demonstrate that CNN outperforms the other models in this task. In the future, the deep
learning models can be evaluated on a richer and larger number of images (datasets) for better/improved
results.
A brand new catalog for the 2024 edition of IWISS. We have enriched our product range and have more innovations in electrician tools, plumbing tools, wire rope tools and banding tools. Let's explore together!
The document discusses agile testing approaches and their benefits. Key points include:
1. Agile testing involves testing from the beginning of a project and continually throughout its lifecycle. This helps specify requirements in terms of tests and ensure 100% test coverage.
2. Keeping testers, developers, and customers in close communication helps eliminate errors caused by making incorrect assumptions.
3. Breaking projects into smaller iterations provides frequent feedback on the project's state. Many teams are successfully using agile testing to improve quality.
4. Adopting agile testing requires some training and workspace changes but yields advantages like collaborating to build in quality from the start.
This document provides an introduction to a unit on software testing and quality assurance. It outlines the core objectives and outcomes of the unit, which are to introduce concepts of software testing, understand different testing techniques, learn about automation testing and tools, and understand the importance of software quality assurance. It also discusses definitions of software testing and quality, the importance of software testing, testing objectives, stages of system testing including test strategy, plan, case design, and procedures. Finally, it covers topics related to quality management including definitions of quality, quality views, total quality management, quality control through statistical process control, and cultural changes for quality management.
In this session you will learn:
Overview of Testing Life Cycle
Testing Methodologies
Black Box Testing
White Box Testing
Gray Box Testing
Integration Testing
System Testing
Regression Testing
User Acceptance Testing (UAT)
For more information: https://www.mindsmapped.com/courses/quality-assurance/qa-software-testing-training-for-beginners/
Software testing is an investigation conducted to provide stakeholders with information about the quality of the product or service under test. I hope this ppt will help u to learn about software testing.
The document discusses software testing and provides details on various aspects of software testing such as:
1) The objectives of software testing including uncovering errors, demonstrating software matches requirements, and validating quality with minimum cost.
2) Different levels of software testing from unit to integration to system testing.
3) Key aspects of software testing like test plans, test cases, test types (black box vs white box), and testing methodologies.
Functional testing verifies that a software application performs according to its design specifications by checking functions, APIs, databases, security, and client/server interactions. It can be done manually or through automation. Some techniques included are unit testing, smoke testing, integration testing, interface and usability testing, regression testing, user acceptance testing, white box testing, globalization testing, and localization testing. Precise Testing Solution offers various functional testing services to clients.
This document provides an overview of software development lifecycles and testing. It discusses the typical phases of the SDLC, including planning, analysis, design, implementation, and maintenance. It describes two common SDLC methodologies: the waterfall model and agile/scrum model. It also defines different types of testing like static vs dynamic, verification vs validation, functional testing, regression testing, and smoke testing. Finally, it provides details on unit, integration, system, and user acceptance testing.
Different type of_software_testing - copyYogita patil
This document discusses different types of software testing including unit testing, integration testing, system testing, acceptance testing, functional testing, non-functional testing, user interface testing, usability testing, accessibility testing, localization testing, performance testing, load testing, stress testing, compatibility testing, cross-browser testing, security testing, negative testing, re-testing, and regression testing. It provides details on the purpose and goals of each testing type.
This document summarizes a chapter on software verification and validation from a software engineering textbook. It discusses the objectives of verification and validation, including the distinction between verification (checking that the product is built right) and validation (checking that the right product is built). It also describes techniques like software inspections, testing, and static analysis that can be used for verification and validation. The overall goals of verification and validation are to establish confidence that the software is fit for its intended purpose.
Validation ensures the system meets specifications, while verification checks that the correct system was built. Common verification and validation activities include reviews, testing, and formal verification. Testing is the process of running a program with test cases to find errors by comparing the program's behavior to expected behavior, with the objective of detecting defects.
Fundamentals of software testing, testing levels and types, testing throughout the software life-cycle, bug report and bug severity.
Automated tests via selenium web-driver with a demo.
Tools for Software Verification and Validationaliraza786
The document discusses two tools for software verification and validation (V&V): NUnit and Mercury Quality Center (MQC).
NUnit is an open source unit testing framework for .NET applications. It allows developers to write unit tests to verify code meets design conditions. NUnit supports IDE integration, assertions, attributes, configurations and multiple assembly testing. It is used during implementation to facilitate code verification.
MQC is a web-based test management tool for organizing testing projects. It allows requirements management, test planning, case authoring, execution, and defect tracking. Various roles can access modules for requirements, tests, execution, and defects. Reports can be generated on results. It integrates with other tools and facilitates
Software testing involves executing software components to evaluate properties against requirements. It identifies errors and ensures quality. Benefits include lower costs from early bug detection, improved security, quality, and customer satisfaction. Testing strategies include unit, integration, and system testing. Types are functional, non-functional, and regression/maintenance testing. Methodologies are white-box and black-box testing. The software testing lifecycle has phases for requirements, design, execution, closure, and analysis. Performance testing types include stress, volume, configuration, compatibility, regression, recovery, and usability testing.
Verification ensures that software is developed according to specifications through static testing methods like reviews and walkthroughs. It checks that the code matches requirements but does not execute it. Validation determines if the final product meets intended use by executing the code and getting stakeholder feedback. It is dynamic and ensures the right system was built to satisfy stakeholders. The main difference is that verification checks for correctness during development while validation checks if the final product fulfills its intended use.
The document discusses software testing. It defines software testing as verifying and validating that a software application meets requirements and works as expected. The main purposes of testing are verification, validation, and defect finding. Verification ensures the software meets technical specifications, while validation ensures it meets business requirements. Defect finding identifies variances between expected and actual results. The document also discusses different testing methodologies like black box and white box testing and different testing levels like unit, integration, and system testing.
Verification and validation process in software testingpooja deshmukh
Students are often confused between the verification and validation process, as far as Software Testing is concerned. Let us initially define both the processes.
Testing is the process of evaluating a system or its components to identify differences between expected and actual results. It involves executing a system to identify gaps, errors, or missing requirements. There are different types of testing such as unit testing, integration testing, system testing, and acceptance testing. Testing can be manual, automated, functional, or non-functional. Functional testing evaluates system functionality while non-functional testing evaluates attributes like performance and security. Common non-functional test types are load testing and stress testing which analyze a system's behavior under different load conditions.
COURSE IS NOW FULLY AVAILABLE AND LIVE HERE: https://goo.gl/gVukvc
What you will learn in this second section
Software Testing Methodologies. Waterfall, V-Model and Iterative
What is unity or component system testing
What is integration, system and acceptance means
Differences between functional and non-functional testing
What is a structural testing
Change-related testing
Maintenance testing
Access my blog for much more material and the mock exams.
www.rogeriodasilva.com
The document discusses automated software testing, including the process of automated testing, advantages and disadvantages, and choosing automation tools. It notes that automation can reduce human involvement in repetitive tasks, help eliminate human error, and enable more reliable, reusable, and faster testing at lower cost. However, high upfront investment is required along with significant resources for test preparation. Key factors for choosing tools include ease of integration, compatibility, performance, and types of tests supported.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
The document discusses different strategies for software testing. It describes unit testing starting at the component level and progressing outward to integration, validation, and system testing. Validation testing ensures requirements are met through criteria like functional testing and alpha/beta testing with end users. Verification tests that the product is built correctly while validation ensures the correct product is built.
The Role of Verification and Validation in System Development Life CycleIOSR Journals
Verification and validation (V&V) are important parts of the system development life cycle that help ensure software quality. Verification determines if the product meets requirements, while validation checks if it fulfills its intended purpose. V&V techniques include reviews, testing, and audits at all phases of development. Proper V&V helps deliver high quality software that satisfies client needs on time.
Testing is the process of executing a program with the intention of finding errors. Software testing is an analysis that gives data to estimate quality and includes executing programs to find bugs. Testing is done by software testers, developers, project leads, and end users and includes both manual and automated methods. Functional testing examines a system's functionality against requirements while non-functional testing examines reliability, efficiency and other non-functional aspects.
Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not. In simple words, testing is executing a system in order to identify any gaps, errors, or missing requirements in contrary to the actual requirements.
Testing is the process of evaluating a system or its components to identify errors or gaps between expected and actual results. It can be done manually or through automation. There are different types of testing like unit testing, integration testing, system testing, and acceptance testing. Testing also includes functional testing to check system requirements and non-functional testing to evaluate performance. Key aspects of testing include the software development life cycle (SDLC) and different models like waterfall, prototyping, incremental, spiral, and agile.
Here we are discussing the worth of software testing i.e how testing improves the quality of any product before its launching. You will also learn techniques of software testing in brief and benefits .
This document provides an overview of various types of software testing techniques, including static testing, dynamic testing, regression testing, usability testing, and accessibility testing. Static testing involves evaluating code and documentation without executing the program, while dynamic testing assesses software performance and functionality by executing it under different conditions. Regression testing verifies that new code changes do not negatively impact existing features. Usability and accessibility testing evaluate how real users interact with a product to complete tasks.
Exploring Different Types of QA Methods_ An Overview.pdfPolyxer Systems
Quality assurance may sound like a reserved term for software developers, but it’s a crucial concept for any industry that strives for excellence.
QA is the systematic approach of ensuring that products or services consistently meet predefined standards and customer expectations.
The document discusses software quality and assurance. It defines software as computer programs, procedures, and documentation pertaining to computer system operation. Software quality means meeting requirements and adding value. Quality is important for business survival and competitiveness. Software quality assurance involves activities to ensure software meets criteria and attributes. It includes verification and validation. Verification ensures each development step delivers the correct product while validation ensures software meets user requirements.
software testing is necessary to make sure the product or application is defect free, as per customer specifications. Software testing identifies fault whose removal increases the software Quality and Increases the software reliability.Testing effort is directly proportional to the complexity of the program.
This is the power point presentation on Software Testing. Software Testing is the process of finding error or bug in the developed software product based on the client requirement.
This power point presentation give the basic knowledge about the software testing.
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The document discusses the Software Testing Life Cycle (STLC) and compares it to the Software Development Life Cycle (SDLC). It outlines the key phases of the STLC including test planning, test environment setup, test case creation and execution, bug reporting, analysis and fixing. Validation ensures the product meets requirements while verification checks if it is built correctly. Common verification techniques discussed are reviews, inspections, walkthroughs, and testing approaches like unit testing, integration testing, system testing. The V-model is also summarized which involves creating test plans and documents at each stage to test the product as it is developed.
The document discusses principles of software testing and phases of a software project. It covers the fundamentals of testing including principles like finding defects before customers and that exhaustive testing is not possible. It outlines typical phases of a software project like requirements gathering, planning, design, development, testing, and deployment. It also discusses quality assurance versus quality control. White box testing techniques like static testing and structural testing are explained.
Software testing is the primary process that to learn by all the beginners who are aspiring about testing. It is a process that we want to find the errors during the time of program or application executes. It is also said to be the validating and verifying the software implementation and program. The testing is mainly following during the time of validating product quality. The best software testing course is providing by the instructors under different categories for the learners to learn more about the details on testing. Here some of the sessions are to be following such as technology without coding, tester foundation level training for the beginners, etc.
This document provides an introduction to software testing. It defines software testing as a process used to identify correctness, completeness, and quality of computer software. The key points covered include: why software testing is important; who should be involved in testing; when testing should start and stop in the software development lifecycle; the differences between verification and validation; types of errors; types of testing including manual and automation; methods like black box and white box testing; levels of testing from unit to acceptance; and definitions of test plans and test cases.
The document discusses quality management in software development. It describes the three main components of quality management as quality assurance, quality control, and quality improvement. Quality assurance focuses on establishing processes to ensure quality, while quality control examines outputs to ensure they meet requirements. The software development lifecycle involves requirements analysis, design, coding, testing, implementation, and maintenance phases to develop quality software. Different testing methods like black box, white box, and grey box testing are used during the testing phase.
This document discusses software testing. It defines software testing as evaluating a system to determine if it meets requirements. It then discusses different types of testing like unit testing, integration testing, system testing, and acceptance testing. It also covers testing techniques like black box testing, which focuses on functionality without knowing internal design, and white box testing, which tests internal program structure. Finally, it discusses testing at different levels like unit, integration, system, and acceptance testing and the importance of regression testing when changes are made.
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2. Introduction
In software project management, software testing, and software
engineering, verification and validation (V&V) is the process of
checking that a software system meets specifications and that it
fulfills its intended purpose. It may also be referred to
as software quality control. It is normally the responsibility
of software testers as part of the software development lifecycle.
4. Software Verification
Verification makes sure that the product is designed to deliver all
functionality to the customer.
The process of evaluating software to determine whether the
products of a given development phase satisfy the conditions
imposed at the start of that phase.
5. Software Verification
Verification is done at the starting of the development
process. It includes reviews and
meetings, walkthroughs, inspection, etc. to evaluate
documents, plans, code, requirements and
specifications.
6. Software Verification
Suppose you are building a table. Here the verification is about
checking all the parts of the table, whether all the four legs are of
correct size or not. If one leg of table is not of the right size it will
imbalance the end product. Similar behavior is also noticed in case of
the software product or application. If any feature of software product
or application is not up to the mark or if any defect is found then it
will result into the failure of the end product. Hence, verification is
very important. It takes place at the starting of the development
process.
7. Software Verification
It answers the questions like: Am I building the product right?
Am I accessing the data right (in the right place; in the right way).
It is a Low level activity
Performed during development on key artifacts, like walkthroughs,
reviews and inspections, mentor feedback, training, checklists and
standards.
Demonstration of consistency, completeness, and correctness of the
software at each stage and between each stage of the development
life cycle.
8. Software Verification
According to the Capability Maturity Model (CMM) we
can also define verification as the process of evaluating
software to determine whether the products of a given
development phase satisfy the conditions imposed at
the start of that phase. [IEEE-STD-610].
9. Software Verification
Verification is a static practice of verifying documents, design,
code and program. It includes all the activities associated with
producing high quality software: inspection, design analysis and
specification analysis. It is a relatively objective process.
Verification will help to determine whether the software is of
high quality, but it will not ensure that the system is useful.
Verification is concerned with whether the system is well-
engineered and error-free.
10. Methods of Verification
Static Testing
Under Static Testing, code is not executed. Rather it
manually checks the code, requirement documents,
and design documents to find errors. Hence, the name
"static".
11. Methods of Verification
Static verification is an analysis of computer code to
ensure that standard coding practices have been
adhered to without having to run the program. An
analysis is performed on some versions of the source
code and provides a way for programmers to debug
new code and detect potential errors in compiled code.
12. Methods of Verification
Static verification is widely used in software for safety-critical
computer systems. The key technologies used in static
verification are static timing analysis and equivalence checking.
Timing and functional verification in a static verification flow are
separated and run in parallel. Static timing analysis provides
timing checks, while equivalence checking verifies the functional
equivalence of two versions of the same circuit as design scales
through different transformations such as scan chain reordering,
routing and placement.
13. Methods of Verification
The main objective of this testing is to improve the
quality of software products by finding errors in the
early stages of the development cycle. This testing is
also called a Non-execution technique or verification
testing.
14. Methods of Verification
Static testing involves manual or automated reviews of
the documents. This review is done during an initial
phase of testing to catch defect early in STLC. It
examines work documents and provides review
comments
15. Methods of Verification
Examples of Work documents-
• Requirement specifications
• Design document
• Source Code
• Test Plans
• Test Cases
• Test Scripts
• Help or User document
• Web Page content
16. Static Verification Techniques
Informal Reviews
This is one of the type of review which doesn't follow
any process to find errors in the document. Under this
technique, you just review the document and give
informal comments on it.
17. Static Verification Techniques
Technical Reviews
A team consisting of your peers, review the technical
specification of the software product and checks whether it
is suitable for the project. They try to find any discrepancies
in the specifications and standards followed. This review
concentrates mainly on the technical documentation
related to the software such as Test Strategy, Test Plan and
requirement specification documents.
18. Static Verification Techniques
Walkthrough
The author of the work product explains the product to
his team. Participants can ask questions if any. A
meeting is led by the author. Scribe makes note of
review comments.
19. Static Verification Techniques
Inspection
The main purpose is to find defects and meeting is led
by a trained moderator. This review is a formal type of
review where it follows a strict process to find the
defects. Reviewers have a checklist to review the work
products. They record the defect and inform the
participants to rectify those errors.
20. Static Verification Techniques
Static code Review
This is a systematic review of the software source code
without executing the code. It checks the syntax of the
code, coding standards, code optimization, etc. This is
also termed as white box testing. This review can be
done at any point during development.
21. Advantages of Software Verification
• Verification helps in lowering down the count of the defect in
the later stages of development.
• Verifying the product at the starting phase of the
development will help in understanding the product in a
better way.
• It reduces the chances of failures in the software application
or product.
• It helps in building the product as per the customer
specifications and needs.
22. Software Validation
Validation is determining if the system complies with the
requirements and performs functions for which it is
intended and meets the organization’s goals and user
needs.
The process of evaluating software during or at the end of
the development process to determine whether it satisfies
specified requirements.
23. Software Validation
Validation is the process of evaluating the final product
to check whether the software meets the customer
expectations and requirements. It is a dynamic
mechanism of validating and testing the actual product.
24. Software Validation
Validation is done at the end of the development process and takes place
after Verifications are completed.
It answers the question like: Am I building the right product?
Am I accessing the right data (in terms of the data required to satisfy the
requirement).
It is a High level activity.
Performed after a work product is produced against established criteria
ensuring that the product integrates correctly into the environment.
Determination of correctness of the final software product by a development
project with respect to the user needs and requirements.
25. Software Validation
According to the Capability Maturity Model (CMM) we
can also define validation as The process of evaluating
software during or at the end of the development
process to determine whether it satisfies specified
requirements. [IEEE-STD-610].
26. Software Validation
A product can pass while verification, as it is done on the
paper and no running or functional application is required.
But, when same points which were verified on the paper is
actually developed then the running application or product
can fail while validation. This may happen because when a
product or application is build as per the specification but
these specifications are not up to the mark hence they fail
to address the user requirements.
27. Software Validation
Validation is basically done by the testers during the
testing. While validating the product if some deviation
is found in the actual result from the expected result
then a bug is reported or an incident is raised. Not all
incidents are bugs. But all bugs are incidents. Incidents
can also be of type ‘Question’ where the functionality is
not clear to the tester.
28. Software Validation
Hence, validation helps in unfolding the exact
functionality of the features and helps the testers to
understand the product in much better way. It helps in
making the product more user friendly.
29. Methods of Validation
Dynamic Testing
Dynamic Testing is defined as a software testing type,
which checks the dynamic behavior of the code is
analyzed.
Dynamic testing is a process of validating software
applications as an end user under different
environments to build the right software.
30. Methods of Validation
Dynamic testing is when you are working with the
actual system by providing an input and comparing the
actual behavior of the application to the expected
behavior. In other words, working with the system with
the intent of finding errors.
31. Methods of Validation
• The main aim of the Dynamic tests is to ensure that
software works properly during and after the installation
of the software ensuring a stable application without any
major flaws( this statement is made because no software
is error free, testing only can show presence of defects
and not absence)
• The main purpose of the dynamic test is to ensure
consistency to the software.
32. Methods of Validation
• In a Banking Application, we find different screens like
My Accounts Section, Funds Transfer, Bill Pay, etc.. All
these screens contain amount field which accepts some
characters.
• Let's say My Accounts field displays amount
as 25,000 and Funds Transfer as $25,000 and Bill pay
screen as $25000 though the amount is the same, the
way amount is displayed is not the same hence making
the software non-consistent.
33. Methods of Validation
Consistency is not only limited to the functionality it
also refers to different standards like performance,
usability, compatibility etc. hence it becomes very
important to perform Dynamic Testing.
34. Dynamic Testing Techniques
STLC is a process which consists of different tasks like
Requirements Analysis, Test Planning, Test Case Design,
Environment setup, Test Execution, and Test Closure.
In STLC we can say that Dynamic Testing Process starts
from Test Case Design
36. Dynamic Testing Techniques
Test Strategy should mainly focus on the resources available
and the timeframe. Based on these factors, the objective of
the testing, the scope of testing, phases or cycles of testing,
type of environment, assumptions or challenges that might
be faced, risks, etc. has to be documented.
Once the strategy is defined and is accepted by the
management then the actual process test case design starts.
37. Methods of Validation
Test design and Implementation
• Features to be tested
• Derive the Test Conditions
• Derive the coverage Items
• Derive the Test Cases
38. Types of Dynamic Testing
Dynamic Testing is classified into two categories
• White Box Testing
• Black Box Testing
Another Category includes in some cases known as
• Grey Box Testing
40. Black Box Testing
Black box testing is defined as a testing technique in
which functionality of the Application Under Test (AUT)
is tested without looking at the internal code structure,
implementation details and knowledge of internal
paths of the software. This type of testing is based
entirely on software requirements and specifications.
41. Black Box Testing
In Blackbox Testing we just focus on inputs and
output of the software system without bothering
about internal knowledge of the software program.
42. Black Box Testing
Here are the generic steps followed to carry out any type of
Black Box Testing.
• Initially, the requirements and specifications of the
system are examined.
• Tester chooses valid inputs (positive test scenario) to
check whether SUT processes them correctly. Also, some
invalid inputs (negative test scenario) are chosen to verify
that the SUT is able to detect them.
43. Black Box Testing
• Tester determines expected outputs for all those inputs.
• Software tester constructs test cases with the selected
inputs.
• The test cases are executed.
• Software tester compares the actual outputs with the
expected outputs.
• Defects if any are fixed and re-tested.
44. Black Box Testing
Definition by ISTQB
(International Software Testing Qualifications Board)
Black box testing: Testing, either functional or non-functional,
without reference to the internal structure of the component or
system.
Black box test design technique: Procedure to derive and/or
select test cases based on an analysis of the specification, either
functional or non-functional, of a component or system without
reference to its internal structure.
45. Types of Black Box Testing
• Functional testing - This black box testing type is related to
the functional requirements of a system; it is done by
software testers.
• Non-functional testing - This type of black box testing is not
related to testing of specific functionality, but non-functional
requirements such as performance, scalability, usability.
• Regression testing - Regression testing is done after code
fixes, upgrades or any other system maintenance to check the
new code has not affected the existing code.
46. Black Box Testing Techniques
• Equivalence Class Testing: It is used to minimize the number of
possible test cases to an optimum level while maintains reasonable
test coverage.
• Boundary Value Testing: Boundary value testing is focused on the
values at boundaries. This technique determines whether a certain
range of values are acceptable by the system or not. It is very useful in
reducing the number of test cases. It is most suitable for the systems
where an input is within certain ranges.
• Decision Table Testing: A decision table puts causes and their effects
in a matrix. There is a unique combination in each column.
47. Black Box Testing Model
Black box testing has its own life cycle called Software
Testing Life Cycle (STLC) and it is relative to every stage
of Software Development Life Cycle of Software
Engineering.
• Requirement - This is the initial stage of SDLC and in
this stage, a requirement is gathered. Software
testers also take part in this stage.
48. Black Box Testing Model
• Test Planning & Analysis - Testing Types applicable to
the project are determined. A Test Plan is created
which determines possible project risks and their
mitigation.
• Design - In this stage Test cases/scripts are created
on the basis of software requirement documents
• Test Execution- In this stage Test Cases prepared are
executed. Bugs if any are fixed and re-tested.
49. Advantages
• Tests are done from a user’s point of view and will help in
exposing discrepancies in the specifications.
• Tester need not know programming languages or how the
software has been implemented.
• Tests can be conducted by a body independent from the
developers, allowing for an objective perspective and the
avoidance of developer-bias.
• Test cases can be designed as soon as the specifications are
complete.
50. Disadvantages
• Only a small number of possible inputs can be tested and
many program paths will be left untested.
• Without clear specifications, which is the situation in
many projects, test cases will be difficult to design.
• Tests can be redundant if the software
designer/developer has already run a test case.
• Ever wondered why a soothsayer closes the eyes when
foretelling events? So is almost the case in Black Box
Testing.
51. White Box Testing
WHITE BOX TESTING (also known as Clear Box Testing, Open Box
Testing, Glass Box Testing, Transparent Box Testing, Code-Based
Testing or Structural Testing) is a software testing method in
which the internal structure/design/implementation of the item
being tested is known to the tester. The tester chooses inputs to
exercise paths through the code and determines the appropriate
outputs. Programming know-how and the implementation
knowledge is essential. White box testing is testing beyond the
user interface and into the nitty-gritty of a system.
52. White Box Testing
This method is named so because the software program, in the
eyes of the tester, is like a white/transparent box; inside which
one clearly sees.
Definition by ISTQB
White-box testing: Testing based on an analysis of the internal
structure of the component or system.
White-box test design technique: Procedure to derive and/or
select test cases based on an analysis of the internal structure of
a component or system.
53. White Box Testing
• White Box Testing method is applicable to the
following levels of software testing:
• Unit Testing: For testing paths within a unit.
• Integration Testing: For testing paths between units.
• System Testing: For testing paths between
subsystems.
54. Advantages
• Testing can be commenced at an earlier stage. One
need not wait for the GUI to be available.
• Testing is more thorough, with the possibility of
covering most paths.
55. Disadvantages
• Since tests can be very complex, highly skilled resources
are required, with a thorough knowledge of
programming and implementation.
• Test script maintenance can be a burden if the
implementation changes too frequently.
• Since this method of testing is closely tied to the
application being tested, tools to cater to every kind of
implementation/platform may not be readily available.
56. Grey Box Testing
Gray Box Testing is a technique to test the software
product or application with partial knowledge of the
internal workings of an application.
In this process, context-specific errors that are related
to web systems are commonly identified. It will
increase the testing coverage by concentrating on all of
the layers of any complex system.
57. Grey Box Testing
• Gray Box Testing is a software testing method, which is a
combination of both White Box Testing and Black Box
Testing method.
• In White Box testing internal structure (code) is known
• In Black Box testing internal structure (code) is unknown
• In Grey Box Testing internal structure (code) is partially
known
58. Grey Box Testing
In Software Engineering, Gray Box Testing gives the ability to test both
sides of an application, presentation layer as well as the code part. It
is primarily useful in Integration Testing and Penetration Testing.
59. Grey Box Testing
Gray Box Testing is performed for the following reason,
• It provides combined benefits of both black box testing and white
box testing both.
• It combines the input of developers as well as testers and improves
overall product quality.
• It reduces the overhead of long process of testing functional and
non-functional types.
• It gives enough free time for a developer to fix defects.
• Testing is done from the user point of view rather than a designer
point of view.
60. Grey Box Testing
To perform Gray box testing, it is not necessary that the tester has the
access to the source code. A test is designed based on the knowledge
of algorithm, architectures, internal states, or other high -level
descriptions of the program behavior.
To perform Gray box Testing-
• It applies a straightforward technique of black box testing
• It is based on requirement test case generation, as such, it presets
all the conditions before the program is tested by assertion method.
61. Grey Box Testing
Techniques used for Grey box Testing are-
• Matrix Testing: This testing technique involves defining all the variables that exist
in their programs.
• Regression Testing: To check whether the change in the previous version has
regressed other aspects of the program in the new version. It will be done by
testing strategies like retest all, retest risky use cases, retest within a firewall.
• Orthogonal Array Testing or OAT: It provides maximum code coverage with
minimum test cases.
• Pattern Testing: This testing is performed on the historical data of the previous
system defects. Unlike black box testing, gray box testing digs within the code and
determines why the failure happened
62. Grey Box Testing
Steps to perform Grey box Testing are:
• Step 1: Identify inputs
• Step 2: Identify the outputs
• Step 3: Identify the major paths
• Step 4: Identify Subfunctions
• Step 5: Develop inputs for Subfunctions
• Step 6: Develop outputs for Subfunctions
• Step 7: Execute test case for Subfunctions
• Step 8: Verify the correct result for Subfunctions
• Step 9: Repeat steps 4 & 8 for other Subfunctions
• Step 10: Repeat steps 7 & 8 for other Subfunctions
63. Grey Box Testing
Gray Box Testing Challenges
• When a component under test encounter a failure of
some kind may lead to abortion of the ongoing
operation
• When test executes in full but the content of the
result is incorrect.
64. Advantages of Dynamic Testing
• Dynamic Testing can reveal the uncovered defects that
are considered to be too difficult or complicated and
which cannot be covered through static Analysis
• In Dynamic Testing, we execute the software, end to end,
ensuring error free software which in turn increases the
quality of a product and project.
• Dynamic Testing becomes an essential Tool for detecting
any security Threats
65. Disadvantages of Dynamic Testing
• Dynamic Testing is Time Consuming because it executes
the application/software or code which requires huge
amount of Resources
• Dynamic Testing increases the cost of project/product
because it does not start early in the software lifecycle
and hence any issues fixed in later stages can result in an
increase of cost.
66. Conclusion
In Software Engineering, Verification and Validation are
two measures used to check that the software product
meets the requirements specifications. Static testing
involves verification whereas dynamic testing involves
validation. Together they help to deliver a cost effective
Quality Software.
67. Advantages of Software Validation
• During verification if some defects are missed then
during validation process it can be caught as failures.
• If during verification some specification is
misunderstood and development had happened then
during validation process while executing that
functionality the difference between the actual result
and expected result can be understood.
68. Advantages of Software Validation
• Validation is done during testing like feature testing,
integration testing, system testing, load testing,
compatibility testing, stress testing, etc.
• Validation helps in building the right product as per
the customer’s requirement and helps in satisfying
their needs.
69. Difference b/w Verification & Validation
Verification Validation
The verifying process includes checking
documents, design, code, and program
It is a dynamic mechanism of testing
and validating the actual product
It does not involve executing the code It always involves executing the code
Verification uses methods like reviews,
walkthroughs, inspections, and desk-
checking etc.
It uses methods like Black Box
Testing, White Box Testing, and non-
functional testing
70. Difference b/w Verification & Validation
Verification Validation
Whether the software conforms to
specification is checked
It checks whether the software meets the
requirements and expectations of a
customer
It finds bugs early in the development
cycle
It can find bugs that the verification
process can not catch
Target is application and software
architecture, specification, complete
design, high level, and database design
etc.
Target is an actual product
71. Difference b/w Verification & Validation
Verification Validation
QA team does verification and make sure
that the software is as per the
requirement in the SRS document.
With the involvement of testing team
validation is executed on software code.
It comes before validation It comes after verification