This document provides an overview and introduction to automated testing. It discusses different levels of automated testing like unit testing, integration testing, and acceptance testing. It describes how automated testing fits into a delivery pipeline to support continuous integration and deployment. Key benefits of automated testing are outlined like enabling refactoring, improving code quality, and reducing costs. Common patterns for automated testing like the four phase test pattern and using test doubles are also presented. The document aims to establish context and provide best practices for designing and implementing automated tests.
Testing in the New World of Off-the-Shelf SoftwareJosiah Renaudin
Testing an off-the-shelf, sometimes called COTS, system? Often, project managers and stakeholders mistakenly believe that one benefit of purchasing software is that there is little, if any, testing required. This could not be further from the truth. Testing COTS software requires a different focus from traditional testing approaches. Although no software package will be delivered free of bugs, the testing focus from the purchasing organization’s perspective is not on validating the base functionality. Gerie Owen and Peter Varhol share a framework for testing COTS packages and discuss in detail each of the major focus areas―customizations and configurations, integration, data, and performance. Discover how to work with business processes and integration maps to design an effective test strategy. Whether you are testing a small COTS package or a large enterprise COTS application, join Gerie and Peter to learn how to focus your testing effectively and develop a new test skill set.
Unit 8 discusses software testing concepts including definitions of testing, who performs testing, test characteristics, levels of testing, and testing approaches. Unit testing focuses on individual program units while integration testing combines units. System testing evaluates a complete integrated system. Testing strategies integrate testing into a planned series of steps from requirements to deployment. Verification ensures correct development while validation confirms the product meets user needs.
Black-Box Testing, Model-Based Testing, Testing for Specialized Environments, Architecture, Object-Oriented Testing Strategies, Object-Oriented Testing Methods, Test Cases and the Class Hierarchy, Testing Concepts for WebApps, Testing Process – An Overview, User Interface Testing, Test Plan, Positive Testing Negative Testing
This document discusses various topics related to software testing including:
1. The objectives of software testing are to find errors and improve quality. Testing involves executing software under controlled conditions to evaluate results.
2. Test cases validate requirements and check for pass/fail outcomes. Test suites contain related test cases. Test scenarios ensure end-to-end business process flows are tested.
3. Testing principles include traceability to requirements, early planning, starting with small tests, and using independent third parties. Both manual and automation testing methods are discussed.
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
Manual testing takes more effort and cost than automated testing. It is more boring and provides limited visibility for stakeholders. Automated tests can test single units, are reusable, and provide a safety net for refactoring. They also ensure all tests are run, drive clean design, and do not create code clutter like manual tests. An initial learning curve and questions around organization and reuse may prevent developers from writing automated tests, but designating responsibility and learning tools can help overcome these issues.
The document discusses lessons learned from testing object-oriented systems. It covers the state of the art in object-oriented test design, automation, and representation. It also examines the state of the practice, finding that the best organizations implement systematic testing at multiple scopes from classes to subsystems. With rigorous testing following design patterns, world-class quality below 0.025 defects per function point is achievable.
Testing in the New World of Off-the-Shelf SoftwareJosiah Renaudin
Testing an off-the-shelf, sometimes called COTS, system? Often, project managers and stakeholders mistakenly believe that one benefit of purchasing software is that there is little, if any, testing required. This could not be further from the truth. Testing COTS software requires a different focus from traditional testing approaches. Although no software package will be delivered free of bugs, the testing focus from the purchasing organization’s perspective is not on validating the base functionality. Gerie Owen and Peter Varhol share a framework for testing COTS packages and discuss in detail each of the major focus areas―customizations and configurations, integration, data, and performance. Discover how to work with business processes and integration maps to design an effective test strategy. Whether you are testing a small COTS package or a large enterprise COTS application, join Gerie and Peter to learn how to focus your testing effectively and develop a new test skill set.
Unit 8 discusses software testing concepts including definitions of testing, who performs testing, test characteristics, levels of testing, and testing approaches. Unit testing focuses on individual program units while integration testing combines units. System testing evaluates a complete integrated system. Testing strategies integrate testing into a planned series of steps from requirements to deployment. Verification ensures correct development while validation confirms the product meets user needs.
Black-Box Testing, Model-Based Testing, Testing for Specialized Environments, Architecture, Object-Oriented Testing Strategies, Object-Oriented Testing Methods, Test Cases and the Class Hierarchy, Testing Concepts for WebApps, Testing Process – An Overview, User Interface Testing, Test Plan, Positive Testing Negative Testing
This document discusses various topics related to software testing including:
1. The objectives of software testing are to find errors and improve quality. Testing involves executing software under controlled conditions to evaluate results.
2. Test cases validate requirements and check for pass/fail outcomes. Test suites contain related test cases. Test scenarios ensure end-to-end business process flows are tested.
3. Testing principles include traceability to requirements, early planning, starting with small tests, and using independent third parties. Both manual and automation testing methods are discussed.
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
Manual testing takes more effort and cost than automated testing. It is more boring and provides limited visibility for stakeholders. Automated tests can test single units, are reusable, and provide a safety net for refactoring. They also ensure all tests are run, drive clean design, and do not create code clutter like manual tests. An initial learning curve and questions around organization and reuse may prevent developers from writing automated tests, but designating responsibility and learning tools can help overcome these issues.
The document discusses lessons learned from testing object-oriented systems. It covers the state of the art in object-oriented test design, automation, and representation. It also examines the state of the practice, finding that the best organizations implement systematic testing at multiple scopes from classes to subsystems. With rigorous testing following design patterns, world-class quality below 0.025 defects per function point is achievable.
The document discusses various techniques for testing commercial off-the-shelf (COTS) components. It describes methods like the Analytic Hierarchy Process for COTS evaluation and selection. It also covers different approaches to provide testing information for COTS like the component metadata approach. The document discusses levels of testing like unit and integration testing as well as types of testing such as functionality, reliability and security testing.
The document discusses different types of testing in the V-model, including static testing, dynamic testing, unit testing, integration testing, system testing, acceptance testing, and more. It provides details on each type of testing including what is tested, when it is performed, and the objectives.
This document discusses various software testing strategies, including unit testing, integration testing, validation testing, and system testing. It provides details on test strategies for conventional software, including focusing unit testing on individual components/functions, using incremental integration testing to combine components, and performing regression and smoke testing. Verification aims to ensure algorithms are coded correctly while validation ensures requirements are met.
Bruno Legeard - Model-Based Testing of a Financial ApplicationTEST Huddle
EuroSTAR Software Testing Conference 2008 presentation on Model-Based Testing of a Financial Application by Bruno Legeard. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Software Testing Process, Testing Automation and Software Testing TrendsKMS Technology
This is the slide deck that KMS Technology's experts shared useful information about latest and greatest achievements of software testing field with lecturers of HCMC University of Industry.
This document discusses different phases of a project and types of system testing. It describes the concept, analysis, design & coding, and maintenance phases of a project. It also discusses various types of system testing including performance, stress, scalability, localization, interoperability, reliability, and security testing. Performance testing checks for "performance bugs" and ensures the software does not take infinite time or resources. Stress testing determines how the system behaves under extreme loads and scalability testing checks maximum system capability. Localization testing verifies global functionality after translation. Interoperability testing ensures products can exchange and use shared information. Reliability testing checks for frequent errors, and security testing identifies vulnerabilities through simulated attacks.
Testing throughout the software life cycle - Testing & Implementationyogi syafrialdi
Testing Throughout The Software Life Cycle discusses different software development models and the role of testing within each model. It describes various testing levels including component, integration, system, and acceptance testing. It also covers different test types such as functional testing, non-functional testing, structural testing, and regression/confirmation testing. Specific development models covered include the V-model, iterative models like RAD and agile development, and how testing fits within each model.
Automated testing helps identify software bugs earlier through unit testing, code coverage, code analysis, web testing, load testing, and test case management. These tools help ensure software works as intended under normal and peak usage while finding errors. Static code analysis further checks for design, naming, security, and other issues based on configurable rules.
This document discusses software testing practices and processes. It covers topics like unit testing, integration testing, validation testing, test planning, and test types. The key points are that testing aims to find errors, good testing uses both valid and invalid inputs, and testing should have clear objectives and be assigned to experienced people. Testing is done at the unit, integration and system levels using techniques like black box testing.
Manual testing is the process of testing software manually without automation. It involves various levels of testing like unit testing and system testing. Types of blackbox testing include functional and non-functional testing. The steps for manual testing are to understand documentation, draft test cases, execute test cases, report bugs, and retest after fixes. Sample testing points cover testing buttons, text fields, dropdowns, filters, and other common elements.
SOFTWARE TESTING: ISSUES AND CHALLENGES OF ARTIFICIAL INTELLIGENCE & MACHINE ...ijaia
The history of Artificial Intelligence and Machine Learning dates back to 1950’s. In recent years, there has
been an increase in popularity for applications that implement AI and ML technology. As with traditional
development, software testing is a critical component of an efficient AI/ML application. However, the
approach to development methodology used in AI/ML varies significantly from traditional development.
Owing to these variations, numerous software testing challenges occur. This paper aims to recognize and
to explain some of the biggest challenges that software testers face in dealing with AI/ML applications. For
future research, this study has key implications. Each of the challenges outlined in this paper is ideal for
further investigation and has great potential to shed light on the way to more productive software testing
strategies and methodologies that can be applied to AI/ML applications.
Validation testing involves black box testing to check if the software meets customer expectations by satisfying requirements, achieving behavioral characteristics, attaining performance standards, and ensuring documentation is correct. Configuration review checks if all software elements were properly developed. Alpha testing is done by customers at developer sites in a controlled environment, while beta testing involves end users testing software in uncontrolled environments at customer sites.
Software testing is a process that evaluates the functionality and quality of software. It involves examining software through various testing types and processes to verify it meets requirements and is error-free. The main types of software testing include static vs dynamic, black box vs white box, automated vs manual, and regression testing. The goal of testing is to identify bugs and ensure the software works as intended.
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.
Ian Smith - Mobile Software Testing - Facing Future ChallengesTEST Huddle
This document discusses challenges in testing mobile software systems. It notes the increasing capabilities of mobile devices and complexity of mobile applications. Key challenges include high variability in cellular networks and devices, changing platform landscapes, and ensuring security of sensitive data on devices. The document recommends approaches like managing complexity through architectural partitioning, maximizing code reuse across platforms, and combining emulation with automated GUI testing. It provides an example case study of developing an automated mobile call generation system and discusses lessons learned.
The document discusses different types of integration and system testing for software. It describes integration testing strategies like big bang, bottom-up, top-down, and sandwich testing. Integration testing aims to test interfaces between subsystems. System testing includes functional testing to validate requirements, performance testing to evaluate non-functional properties, and acceptance testing for client approval. Stubs and drivers are used to isolate components during integration and system testing.
The V-model is a software development lifecycle model where each phase of the development process is validated by an equivalent phase of testing. It emphasizes testing at each development stage. In the V-model, testing begins during the requirements analysis phase, and each subsequent development phase is tested before moving further down the V, and development and testing phases occur in parallel. The benefits of the V-model include preventing faults, avoiding downward flow of defects, lower rework costs, improved quality and risk management.
power point presentation of software testing amravati.pptxpravinjedhe3500
IEEE 802.11 standards, commonly known as Wi-Fi, play a pivotal role in facilitating wireless communication by providing a robust framework for establishing and managing wireless networks. These standards define the protocols and specifications for wireless local area networks (WLANs), enabling devices to communicate with each other and access network resources without the need for physical wired connections. Here's how IEEE 802.11 standards contribute to wireless communication:
Test automation lessons from WebSphere Application ServerRobbie Minshall
The document discusses WebSphere testing at IBM. It provides an overview of IBM's:
- Extensive testing resources including over 200 engineers and thousands of systems.
- Daily regression testing of over 1.7 million tests.
- Transition from waterfall to agile development which reduced cycle times and resources needed for testing.
- Use of cloud resources to speed up test deployment and automation.
- Focus on creating meaningful regressions through techniques like integration acceptance tests run continuously on each build.
Automated testing overview discusses the importance of software testing and automated testing. It defines software testing as verifying that software meets requirements and works as expected. The document covers different types of testing and why automated testing is needed to reduce costs, protect reputation, and address difficulties in testing. It provides examples of unit testing simple objects, objects with dependencies, and user interfaces to illustrate how to implement automated tests.
A Comprehensive Guide to Accelerate and Strengthen Your End-to-End Testing Ap...kalichargn70th171
End-to-end (E2E) tests, positioned just below UI testing in the testing pyramid, ensure system sanity and integrity. E2E testing guarantees seamless interaction among system components by validating user scenarios, bolstering overall resilience and reliability.
The document discusses various techniques for testing commercial off-the-shelf (COTS) components. It describes methods like the Analytic Hierarchy Process for COTS evaluation and selection. It also covers different approaches to provide testing information for COTS like the component metadata approach. The document discusses levels of testing like unit and integration testing as well as types of testing such as functionality, reliability and security testing.
The document discusses different types of testing in the V-model, including static testing, dynamic testing, unit testing, integration testing, system testing, acceptance testing, and more. It provides details on each type of testing including what is tested, when it is performed, and the objectives.
This document discusses various software testing strategies, including unit testing, integration testing, validation testing, and system testing. It provides details on test strategies for conventional software, including focusing unit testing on individual components/functions, using incremental integration testing to combine components, and performing regression and smoke testing. Verification aims to ensure algorithms are coded correctly while validation ensures requirements are met.
Bruno Legeard - Model-Based Testing of a Financial ApplicationTEST Huddle
EuroSTAR Software Testing Conference 2008 presentation on Model-Based Testing of a Financial Application by Bruno Legeard. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Software Testing Process, Testing Automation and Software Testing TrendsKMS Technology
This is the slide deck that KMS Technology's experts shared useful information about latest and greatest achievements of software testing field with lecturers of HCMC University of Industry.
This document discusses different phases of a project and types of system testing. It describes the concept, analysis, design & coding, and maintenance phases of a project. It also discusses various types of system testing including performance, stress, scalability, localization, interoperability, reliability, and security testing. Performance testing checks for "performance bugs" and ensures the software does not take infinite time or resources. Stress testing determines how the system behaves under extreme loads and scalability testing checks maximum system capability. Localization testing verifies global functionality after translation. Interoperability testing ensures products can exchange and use shared information. Reliability testing checks for frequent errors, and security testing identifies vulnerabilities through simulated attacks.
Testing throughout the software life cycle - Testing & Implementationyogi syafrialdi
Testing Throughout The Software Life Cycle discusses different software development models and the role of testing within each model. It describes various testing levels including component, integration, system, and acceptance testing. It also covers different test types such as functional testing, non-functional testing, structural testing, and regression/confirmation testing. Specific development models covered include the V-model, iterative models like RAD and agile development, and how testing fits within each model.
Automated testing helps identify software bugs earlier through unit testing, code coverage, code analysis, web testing, load testing, and test case management. These tools help ensure software works as intended under normal and peak usage while finding errors. Static code analysis further checks for design, naming, security, and other issues based on configurable rules.
This document discusses software testing practices and processes. It covers topics like unit testing, integration testing, validation testing, test planning, and test types. The key points are that testing aims to find errors, good testing uses both valid and invalid inputs, and testing should have clear objectives and be assigned to experienced people. Testing is done at the unit, integration and system levels using techniques like black box testing.
Manual testing is the process of testing software manually without automation. It involves various levels of testing like unit testing and system testing. Types of blackbox testing include functional and non-functional testing. The steps for manual testing are to understand documentation, draft test cases, execute test cases, report bugs, and retest after fixes. Sample testing points cover testing buttons, text fields, dropdowns, filters, and other common elements.
SOFTWARE TESTING: ISSUES AND CHALLENGES OF ARTIFICIAL INTELLIGENCE & MACHINE ...ijaia
The history of Artificial Intelligence and Machine Learning dates back to 1950’s. In recent years, there has
been an increase in popularity for applications that implement AI and ML technology. As with traditional
development, software testing is a critical component of an efficient AI/ML application. However, the
approach to development methodology used in AI/ML varies significantly from traditional development.
Owing to these variations, numerous software testing challenges occur. This paper aims to recognize and
to explain some of the biggest challenges that software testers face in dealing with AI/ML applications. For
future research, this study has key implications. Each of the challenges outlined in this paper is ideal for
further investigation and has great potential to shed light on the way to more productive software testing
strategies and methodologies that can be applied to AI/ML applications.
Validation testing involves black box testing to check if the software meets customer expectations by satisfying requirements, achieving behavioral characteristics, attaining performance standards, and ensuring documentation is correct. Configuration review checks if all software elements were properly developed. Alpha testing is done by customers at developer sites in a controlled environment, while beta testing involves end users testing software in uncontrolled environments at customer sites.
Software testing is a process that evaluates the functionality and quality of software. It involves examining software through various testing types and processes to verify it meets requirements and is error-free. The main types of software testing include static vs dynamic, black box vs white box, automated vs manual, and regression testing. The goal of testing is to identify bugs and ensure the software works as intended.
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.
Ian Smith - Mobile Software Testing - Facing Future ChallengesTEST Huddle
This document discusses challenges in testing mobile software systems. It notes the increasing capabilities of mobile devices and complexity of mobile applications. Key challenges include high variability in cellular networks and devices, changing platform landscapes, and ensuring security of sensitive data on devices. The document recommends approaches like managing complexity through architectural partitioning, maximizing code reuse across platforms, and combining emulation with automated GUI testing. It provides an example case study of developing an automated mobile call generation system and discusses lessons learned.
The document discusses different types of integration and system testing for software. It describes integration testing strategies like big bang, bottom-up, top-down, and sandwich testing. Integration testing aims to test interfaces between subsystems. System testing includes functional testing to validate requirements, performance testing to evaluate non-functional properties, and acceptance testing for client approval. Stubs and drivers are used to isolate components during integration and system testing.
The V-model is a software development lifecycle model where each phase of the development process is validated by an equivalent phase of testing. It emphasizes testing at each development stage. In the V-model, testing begins during the requirements analysis phase, and each subsequent development phase is tested before moving further down the V, and development and testing phases occur in parallel. The benefits of the V-model include preventing faults, avoiding downward flow of defects, lower rework costs, improved quality and risk management.
power point presentation of software testing amravati.pptxpravinjedhe3500
IEEE 802.11 standards, commonly known as Wi-Fi, play a pivotal role in facilitating wireless communication by providing a robust framework for establishing and managing wireless networks. These standards define the protocols and specifications for wireless local area networks (WLANs), enabling devices to communicate with each other and access network resources without the need for physical wired connections. Here's how IEEE 802.11 standards contribute to wireless communication:
Test automation lessons from WebSphere Application ServerRobbie Minshall
The document discusses WebSphere testing at IBM. It provides an overview of IBM's:
- Extensive testing resources including over 200 engineers and thousands of systems.
- Daily regression testing of over 1.7 million tests.
- Transition from waterfall to agile development which reduced cycle times and resources needed for testing.
- Use of cloud resources to speed up test deployment and automation.
- Focus on creating meaningful regressions through techniques like integration acceptance tests run continuously on each build.
Automated testing overview discusses the importance of software testing and automated testing. It defines software testing as verifying that software meets requirements and works as expected. The document covers different types of testing and why automated testing is needed to reduce costs, protect reputation, and address difficulties in testing. It provides examples of unit testing simple objects, objects with dependencies, and user interfaces to illustrate how to implement automated tests.
A Comprehensive Guide to Accelerate and Strengthen Your End-to-End Testing Ap...kalichargn70th171
End-to-end (E2E) tests, positioned just below UI testing in the testing pyramid, ensure system sanity and integrity. E2E testing guarantees seamless interaction among system components by validating user scenarios, bolstering overall resilience and reliability.
The document outlines an upcoming programming workshop that will cover various JetBrains IDEs like PyCharm, IntelliJ IDEA, and PhpStorm. It then discusses Test Driven Development (TDD), including what TDD is, the development cycle used in TDD, and benefits like encouraging simple designs and confidence. Different types of software tests are also listed like unit tests, integration tests, acceptance tests, and others. Specific testing techniques like unit testing, integration testing using bottom-up and top-down approaches, and acceptance testing are then explained at a high level. Finally, some important notes on testing like trusting tests and prioritizing maintainability are provided.
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.
Incorporating Performance Testing in Agile Development ProcessMichael Vax
This presentations explains different aspects of software performance testing and give actionable recommendations on how to integrate it into the Agile Software development process
Software Test Automation - Best PracticesArul Selvan
The document provides best practices for software test automation. It recommends treating test automation like a software development project by focusing on design, documentation, and bug tracking. It also stresses setting measurable goals, choosing the right testing tool and framework to meet automation needs, ensuring high quality test data, training a dedicated team, conducting early and frequent testing, and writing independent test cases.
Group #8, represented by Haris Jamil, discussed various types of software testing for their information technology project. They will review object-oriented analysis and design models, conduct class testing after coding, and integration testing within subsystems. The types of testing included are: object-oriented testing, requirement testing, analysis and design testing, code testing, user testing, integration tests, and system tests. Stages of requirement-based testing were defined as well as analysis testing, design testing techniques, code-based testing, integration testing strategies, system testing purposes, and user acceptance testing. Scenario-based testing was also explained.
This is the most important topic of OOAD named as Object Oriented Testing. It is used to prepare a good software which has no bug in it and it performs very fast. <a href="https://harisjamil.pro">Haris Jamil</a>
The document discusses software testing and the software testing life cycle (STLC). It describes STLC phases like requirements analysis, test planning, test design, test execution, and test closure. It also covers test methodologies like black box testing and white box testing. Functional testing types like unit testing, integration testing, and system testing are explained. The importance of functional testing to ensure software quality is highlighted.
During the specification phase of testing, required tests and starting points are specified to prepare for quickly executing tests when developers deliver the test object. The execution phase then obtains insight into quality through agreed upon tests. Different types of testing include acceptance, unit, functional, exploratory, and performance/load testing which validate both business needs and implementation and help both the product and team.
Welingkar_final project_ppt_IMPORTANCE & NEED FOR TESTINGSachin Pathania
Software testing is an important step in the software development process to identify bugs and ensure quality. It is done at various stages including unit, integration, system, and acceptance testing. Automation testing helps test cases be run quickly and consistently. In conclusion, software testing is crucial to identify and remove errors, improving the performance and consistency of software products.
The document discusses software testing throughout the software development life cycle. It covers key topics like software development life cycle models, test levels, test types, and maintenance testing. Test levels include component testing, integration testing, and system testing. Software development life cycle models can be sequential, iterative, or incremental. The document provides details on various models like waterfall, V-model, spiral, agile development, etc. It also discusses test planning, test design techniques, integration strategies like big bang, top-down and bottom-up integration.
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 frameworks provide an execution environment for automated tests. The main types are modular, data-driven, and keyword-driven frameworks. Modular frameworks organize tests into independent scripts representing application modules. Data-driven frameworks store test data and expected results in external files to reduce code duplication. Keyword-driven frameworks use external files to store test actions and data. Hybrid frameworks combine advantages of the different approaches. While frameworks work with waterfall models, agile methodologies benefit more from test-driven development and behavior-driven development which integrate testing throughout development.
4&5.pptx SOFTWARE TESTING UNIT-4 AND UNIT-5hemasubbu08
This document provides an overview of testing in the agile environment and automated testing tools. It discusses agile testing methodologies like test-driven development, acceptance test-driven development, and behavior-driven development. It also covers testing web and mobile applications. The document then focuses on automated testing, describing how it works and the types of tests that are normally automated. It discusses benefits and best practices of automated testing. Finally, it covers popular automated testing tools like Selenium, Katalon Studio, and Cucumber and provides pros and cons of each.
DevOps Workshop - Addressing Quality Challenges of Highly Complex and Integra...Andrew Williams
Is your delivery and testing approach able to keep pace with today’s business demands? Poor or low levels of collaboration between application owners, developers and testers using a variety of tools & practices and long cycles of provisioning of dev/test environments can impede quality, increase waste and cost. Join this workshop discussion and share your opinion. Collaborate with peers on best practices to eliminate testing bottlenecks through virtualized dependent services and how to stand up realistic, production-like test labs that can be easily deployed, shared, and updated as systems change. The workshop will conclude with Q&A among the participants.
The document discusses various aspects of system testing such as the testing life cycle, roles of testing team members, test plan preparation, test case preparation and execution, and different testing techniques. It explains that testing activities are involved throughout the project from planning and preparation to unit, integration, system, and acceptance testing. It also describes techniques like equivalence partitioning, boundary analysis, error guessing, and incremental testing.
The Power of Visual Regression Testing_ Why It Is Critical for Enterprise App...kalichargn70th171
Visual testing plays a vital role in ensuring that software products meet the aesthetic requirements specified by clients in functional and non-functional specifications. In today's highly competitive digital landscape, users expect a seamless and visually appealing online experience. Visual testing, also known as automated UI testing or visual regression testing, verifies the accuracy of the visual elements that users interact with.
Nashik's top web development company, Upturn India Technologies, crafts innovative digital solutions for your success. Partner with us and achieve your goals
Secure-by-Design Using Hardware and Software Protection for FDA ComplianceICS
This webinar explores the “secure-by-design” approach to medical device software development. During this important session, we will outline which security measures should be considered for compliance, identify technical solutions available on various hardware platforms, summarize hardware protection methods you should consider when building in security and review security software such as Trusted Execution Environments for secure storage of keys and data, and Intrusion Detection Protection Systems to monitor for threats.
How GenAI Can Improve Supplier Performance Management.pdfZycus
Data Collection and Analysis with GenAI enables organizations to gather, analyze, and visualize vast amounts of supplier data, identifying key performance indicators and trends. Predictive analytics forecast future supplier performance, mitigating risks and seizing opportunities. Supplier segmentation allows for tailored management strategies, optimizing resource allocation. Automated scorecards and reporting provide real-time insights, enhancing transparency and tracking progress. Collaboration is fostered through GenAI-powered platforms, driving continuous improvement. NLP analyzes unstructured feedback, uncovering deeper insights into supplier relationships. Simulation and scenario planning tools anticipate supply chain disruptions, supporting informed decision-making. Integration with existing systems enhances data accuracy and consistency. McKinsey estimates GenAI could deliver $2.6 trillion to $4.4 trillion in economic benefits annually across industries, revolutionizing procurement processes and delivering significant ROI.
Flutter vs. React Native: A Detailed Comparison for App Development in 2024dhavalvaghelanectarb
Choosing the right framework for your cross-platform mobile app can be a tough decision. Both Flutter and React Native offer compelling features and have earned their place in the development world. Here is a detailed comparison to help you weigh their strengths and weaknesses. Here are the pros and cons of developing mobile apps in React Native vs Flutter.
What is Continuous Testing in DevOps - A Definitive Guide.pdfkalichargn70th171
Once an overlooked aspect, continuous testing has become indispensable for enterprises striving to accelerate application delivery and reduce business impacts. According to a Statista report, 31.3% of global enterprises have embraced continuous integration and deployment within their DevOps, signaling a pervasive trend toward hastening release cycles.
DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSISTier1 app
Are you ready to unlock the secrets hidden within Java thread dumps? Join us for a hands-on session where we'll delve into effective troubleshooting patterns to swiftly identify the root causes of production problems. Discover the right tools, techniques, and best practices while exploring *real-world case studies of major outages* in Fortune 500 enterprises. Engage in interactive lab exercises where you'll have the opportunity to troubleshoot thread dumps and uncover performance issues firsthand. Join us and become a master of Java thread dump analysis!
A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...kalichargn70th171
In today's fiercely competitive mobile app market, the role of the QA team is pivotal for continuous improvement and sustained success. Effective testing strategies are essential to navigate the challenges confidently and precisely. Ensuring the perfection of mobile apps before they reach end-users requires thoughtful decisions in the testing plan.
Building API data products on top of your real-time data infrastructureconfluent
This talk and live demonstration will examine how Confluent and Gravitee.io integrate to unlock value from streaming data through API products.
You will learn how data owners and API providers can document, secure data products on top of Confluent brokers, including schema validation, topic routing and message filtering.
You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
Whether you want to monetize your real-time data, enable new integrations with partners, or provide self-service access to topics through various protocols, this webinar is for you!
Boost Your Savings with These Money Management AppsJhone kinadey
A money management app can transform your financial life by tracking expenses, creating budgets, and setting financial goals. These apps offer features like real-time expense tracking, bill reminders, and personalized insights to help you save and manage money effectively. With a user-friendly interface, they simplify financial planning, making it easier to stay on top of your finances and achieve long-term financial stability.
Strengthening Web Development with CommandBox 6: Seamless Transition and Scal...Ortus Solutions, Corp
Join us for a session exploring CommandBox 6’s smooth website transition and efficient deployment. CommandBox revolutionizes web development, simplifying tasks across Linux, Windows, and Mac platforms. Gain insights and practical tips to enhance your development workflow.
Come join us for an enlightening session where we delve into the smooth transition of current websites and the efficient deployment of new ones using CommandBox 6. CommandBox has revolutionized web development, consistently introducing user-friendly enhancements that catalyze progress in the field. During this presentation, we’ll explore CommandBox’s rich history and showcase its unmatched capabilities within the realm of ColdFusion, covering both major variations.
The journey of CommandBox has been one of continuous innovation, constantly pushing boundaries to simplify and optimize development processes. Regardless of whether you’re working on Linux, Windows, or Mac platforms, CommandBox empowers developers to streamline tasks with unparalleled ease.
In our session, we’ll illustrate the simple process of transitioning existing websites to CommandBox 6, highlighting its intuitive features and seamless integration. Moreover, we’ll unveil the potential for effortlessly deploying multiple websites, demonstrating CommandBox’s versatility and adaptability.
Join us on this journey through the evolution of web development, guided by the transformative power of CommandBox 6. Gain invaluable insights, practical tips, and firsthand experiences that will enhance your development workflow and embolden your projects.
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.
Enhanced Screen Flows UI/UX using SLDS with Tom KittPeter Caitens
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.
Streamlining End-to-End Testing Automation with Azure DevOps Build & Release Pipelines
Automating end-to-end (e2e) test for Android and iOS native apps, and web apps, within Azure build and release pipelines, poses several challenges. This session dives into the key challenges and the repeatable solutions implemented across multiple teams at a leading Indian telecom disruptor, renowned for its affordable 4G/5G services, digital platforms, and broadband connectivity.
Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline.
Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches.
Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage.
This session delves into how these challenges were addressed through:
1. Automate the setup of essential dependencies to ensure a consistent testing environment.
2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process.
3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases.
4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments.
5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices.
6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency.
7. Utilize AI/ML-powered central test automation reporting server through platforms like reportportal.io, providing consolidated and real-time insights into test performance and issues.
These solutions not only facilitate comprehensive testing across platforms but also promote the principles of shift-left testing, enabling early feedback, implementing quality gates, and ensuring repeatability. By adopting these techniques, teams can effectively automate and execute tests, accelerating software delivery while upholding high-quality standards across Android, iOS, and web applications.
2. John Liebenau
Enterprise Architecture / Software Engineering
2
1/27/2021
Objectives
Present spectrum of automated testing and establish context for discussing automated
testing’s place in application development
Describe various aspects of automated testing including
• different kinds of automated testing,
• motivations for using automated testing, and
• benefits of automated testing
Discuss techniques, patterns, and best practices for automated testing
3. John Liebenau
Enterprise Architecture / Software Engineering
3
1/27/2021
Overview
Organization
1. Context for Automated Testing
2. Definitions and Motivations
3. Patterns, Best Practices, and Examples
Assumptions
• Familiarity with object-oriented design
─ UML class diagrams
─ design patterns
• Some exposure to xUnit style testing frameworks
─ JUnit
─ NUnit
─ MSTest
5. John Liebenau
Enterprise Architecture / Software Engineering
5
1/27/2021
Automated
Testing Levels
Unit Testing
Integration Testing
Acceptance Testing
Manual Testing
Tests individual unit of functionality
Does not interact with environment (databases, networks, filesystems, …)
Unit Tests should execute extremely fast
Tests collaborations between components
May interact with environment (databases, networks, filesystems, …)
Integration Tests typically execute slower than Unit Tests
Tests functional scenarios for regression and user story acceptance
Attempts to test end-to-end in production-like environment
(however automated tests typically bypass GUI)
Acceptance Tests may execute slower than Integration Tests
Explores seldom exercised paths through system functionality
End-to-end testing in production-like environment
Manual Tests are most expensive to execute
6. John Liebenau
Enterprise Architecture / Software Engineering
Unit Testing
Manual Testing
Acceptance Testing
Integration Testing
Unit Testing
Automated Testing supports Delivery Pipeline
Version
Control
Artifact
Repository
Commit Stage
build system
run commit test suite
store build artifacts
report results
Integration Test Stage
run integration test suite
report results
Manual Test Stage
install system/prepare environment
do exploratory testing
report results
Developer Tester
build system
run commit test suite
commit changes
store build artifacts retrieve build artifacts retrieve build artifacts
select build/install system
perform testing
report results
Acceptance Test Stage
install system/prepare environment
run acceptance test suite
report results
retrieve build artifacts
BuildServer
trigger trigger
trigger
provide feedback
provide feedback
7. John Liebenau
Enterprise Architecture / Software Engineering 7
1/27/2021
Release Management in Delivery Pipeline
Development Pipeline
Commit Stage Integration Test Stage Acceptance Test Stage Manual Test Stage
Release Pipeline Initiator
Create Release Branch Create Release Pipeline Activate Release Pipeline
Release Pipeline
Commit Stage Integration Test Stage Acceptance Test Stage Manual Test Stage
9. John Liebenau
Enterprise Architecture / Software Engineering
What is Automated Testing
Writing software that tests an application's functionality at multiple levels
• Unit Testing focuses on individual classes as the test subjects
• Integration Testing focuses on collaborations of classes or components as the test
subjects
• Acceptance Testing focuses on application components that implement specific
scenarios or user stories as the test subjects
Automated tests follow a common pattern
• Specify preconditions and postconditions for each test
─ A precondition is the legal and required state of test subject instance prior to executing a test
─ A postcondition is the legal and required state of a test subject instance after executing a test
• Tests are conducted by
─ Setting up a test subject with the appropriate preconditions
─ Exercising a specific functionality of the test subject
─ Checking for the expected postconditions
• If the postconditions are correct the test subject has passed the test
10. John Liebenau
Enterprise Architecture / Software Engineering
Why is Automated Testing Necessary
Long Term
• Enables longer application lifetime and greater ROI
• Applications continue delivering business value for longer period of time
─ Increased ability to adapt to changes in user requirements and environment
─ Increased system quality as more tests are written
Short Term
• Enables development team to code with more confidence, increasing productivity
─ Reduction in the time spent debugging and integrating
─ More errors are discovered and fixed in development preventing them from being released into production
Automated Testing also:
• Verifies test subject semantics. Automated tests specify the exact behavior of your test subjects
and test them to ensure they conform to that specification
• Enables refactoring. Automated tests are the main tool needed for rapid and successful refactoring
• Improves code quality. Well written automated tests thoroughly exercise your code, catching errors
early in development
• Eliminates manual repetition of test plans. Automated tests can be run efficiently and faithfully
each time your code has changed freeing QA personnel to concentrate on some of the more
difficult and creative aspects of testing
11. John Liebenau
Enterprise Architecture / Software Engineering
Goals supported by Automated Testing
Goal Definition Support
Maximize System Quality • Establish an application architecture and
development method that increases
application quality in a cost effective manner
• Deliver applications that do not generate
production support issues due to application
logic errors or coding errors
• Automated tests repeatedly validate application
code as new functionality is added and existing
functionality is changed
• Automated tests enable development teams to
deliver more value by eliminating production
errors, freeing developers to focus on
application development and not application
support
Maximize System Adaptability • Establish an application architecture and
development method that can effectively and
efficiently adapt to changes in: user
requirements, business environment, and
technology
• Automated tests are the foundation that enables
effective application adaptation and refactoring
Minimize Development and
Operation Cost
• Establish practices and make decisions that
reduce the total cost of developing and
operating applications without
compromising quality
• Automated tests can be economical to develop
by organizing tests into levels and allocating
effort according to the cost of developing tests
at each level
• Automated tests generate significant cost
reductions over expensive manual testing
• Comprehensive automated tests prevent costly
errors from being released into production
Minimize Delivery Time • Establish practices that reduce the amount of
time to deliver applications without
compromising quality
• Automated tests reduce overall application
delivery time by dramatically reducing the time
needed for integration and debugging
13. John Liebenau
Enterprise Architecture / Software Engineering
Four Phase Test Pattern
Context
• We are designing automated tests to
test a system
Problem
• How do we structure test logic to make
what we are testing obvious
Solution
• Structure each test with four distinct
parts that are executed in sequence
─ Set Up
─ Exercise
─ Verify
─ Tear Down
Related Patterns
• Dependency Injection
─ Four Phase Test often uses Dependency
Injection during Set Up
TestCase
- subject: TestSubject
«creator»
+ setUp() : void
«destroyer»
+ tearDown() : void
«test»
+ testMethod() : void
«action»
+ runTest() : void
TestSubject
+ method(Input) : Output
Assert
«verifier»
+ assertEquals(Object, Object) : void
void
runTest()
{
setUp(); // Set Up Phase
testMethod(); // Exercise Phase (in-lines Verify Phase)
tearDown(); // Tear Down Phase
}
void
testMethod()
{
Input input = new Input( ... );
Output expected = new Output( ... );
Output actual = null;
assert...( ... ); // Verify Phase (Precondition)
actual = subject.method( input ); // Exercise Phase
assertEquals( expected,actual); // Verify Phase (Postcondition)
}
Inteface
Test Subject
Test Case
Helper
Legend
tests
14. John Liebenau
Enterprise Architecture / Software Engineering
Test Double Pattern
Context
• A class being tested—the test subject—depends on the interfaces of other components
Problem
• How do we isolate the test subject from the components it depends on in order to do unit testing
Solution
• Replace the components the test subject depends on with test specific equivalents—test
doubles—that mimic the components’ behavior in a way that is more suitable for testing
Variations
• Mock Object
─ Accepts and verifies inputs from test subject
─ Returns outputs to test subject
• Fake Object
─ Implements a component’s functionality in a simpler way suitable for testing
Related Patterns
• Dependency Injection
─ Often used to configure test subjects with Test Doubles
15. John Liebenau
Enterprise Architecture / Software Engineering
Dependency Injection Pattern
Context
• A class being tested—the test subject—depends on the interfaces of other components
Problem
• How do we design the test subject so we can replace its dependencies at runtime
Solution
• Provide mechanisms in the test subject’s interface (such as constructors or setters) that enable clients to configure
the test subject with appropriate dependent components
Variations
• Constructor Injection
─ Configure the test subject with the desired dependencies during its construction
• Setter Injection
─ Configure the test subject with the desired dependencies through setter methods
• Parameter Injection
─ Pass the desired dependency to the test subject through a parameter when a test subject method is invoked
Related Patterns
• Four Phase Test
─ Dependency Injection is used by Four Phase Test to Set Up the state of Test Subjects
• Test Double
─ Dependency Injection is often used to configure Test Subjects with Test Doubles
16. John Liebenau
Enterprise Architecture / Software Engineering
Best Practices
Depend on Interfaces (not Implementations)
• Types of variables and parameters should be interfaces
• Clients only know about the interfaces they expect
• Clients remain unaware of the classes that implement the objects they use
• Greatly reduces implementation dependencies between objects
Apply Single Responsibility Principle
• Design classes that each have only one overarching responsibility
• All methods of such a class are aligned to supporting its responsibility
• Complex behavior is formed by interacting networks of objects each responsible for elements of
the behavior
Favor Object Composition over Class Inheritance
• Helps keep each class encapsulated and focused on one responsibility
• Classes and class hierarchies will remain small and will be less likely to grow to be unmanageable
Isolate Unit Test Subjects with Test Doubles
• Set up test subjects with test doubles in order to isolate test subjects for unit testing
Optimize tests to run as fast as possible
• Once tests are in place, look for opportunities to improve test performance
• Faster tests mean faster feedback
18. John Liebenau
Enterprise Architecture / Software Engineering
18
1/27/2021
Structure of an Integration Test
OrderServiceImpl
- notifier: TraderNotifier
- repository: OrderRepository
«action»
+ processOrder(OrderRequest) : OrderResponse
«modifier»
+ setRepository(OrderRepository) : void
+ setTraderNotifier(TraderNotifier) : void
OrderServiceTest
«creator»
+ setUp() : void
«destroyer»
+ tearDown() : void
«test»
+ testProcessOrder() : void
«interface»
OrderRepository
«modifier»
+ insertOrder(Order) : void
+ removeOrder(Order) : void
«selector»
+ getOrder(OrderId) : Order
+ getOrders(OrderCriteria) : Collection<Order>
«query»
+ hasOrder(OrderId) : boolean
«interface»
TraderNotifier
«notifier»
+ notifyCreatedOrder(CreatedOrderDto) : void
+ notifyCancelledOrder(CancelledOrderDto) : void
«interface»
OrderService
«action»
+ processOrder(OrderRequest) : OrderResponse
InMemoryOrderRepository
Inteface
Test Subject
Test Case
Mock (Test Double)
Fake (Test Double)
Legend
ActualTraderNotifier
DbOrderRepository
Can use fake or real depending on the integration test.
tests
uses
uses
configures
tests
tests
19. John Liebenau
Enterprise Architecture / Software Engineering
19
1/27/2021
Developing a New Class with Unit Testing
1. Declare the class interface
2. Specify each method's preconditions and postconditions (where necessary)
3. Implement each method as a stub
4. Write or generate the unit test skeleton
5. For each public method in the class, implement the test based on the preconditions
and postconditions
6. Implement a method in the class
7. Run the tests
8. If the test passes repeat with another method, else fix the method or the test (which
ever is incorrect) and rerun the test
9. Repeat this process until all methods are fully implemented and pass all of the tests
20. John Liebenau
Enterprise Architecture / Software Engineering
20
1/27/2021
Changing Released Code with Automated Testing
1. Identify how or where bug or enhancement affects code
2. Add test(s) that exercises bug or enhancement
• Could involve unit test, integration test, and acceptance test
3. Run test(s)
• The test (or tests) must fail
• Failure is the indication that the test exercises the bug or enhancement
4. Fix affected method(s) for a bug fix or add the necessary functionality for an
enhancement
5. Run all tests
• This includes all unit tests, integration tests, and acceptance tests
6. If all tests pass, then issue new release, else continue fixing and rerun tests until all
tests pass