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Hard Problems In Software Testing


Hard Problems In Software Testing
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Hard Problems In Software Testing


Hard Problems In Software Testing
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Author : Scott Tilley
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Hard Problems In Software Testing written by Scott Tilley and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.


This book summarizes the current hard problems in software testing as voiced by leading practitioners in the field. The problems were identified through a series of workshops, interviews, and surveys. Some of the problems are timeless, such as education and training, while others such as system security have recently emerged as increasingly important. The book also provides an overview of the current state of Testing as a Service (TaaS) based on an exploration of existing commercial offerings and a survey of academic research. TaaS is a relatively new development that offers software testers the elastic computing capabilities and generous storage capacity of the cloud on an as-needed basis. Some of the potential benefits of TaaS include automated provisioning of test execution environments and support for rapid feedback in agile development via continuous regression testing. The book includes a case study of a representative web application and three commercial TaaS tools to determine which hard problems in software testing are amenable to a TaaS solution. The findings suggest there remains a significant gap that must be addressed before TaaS can be fully embraced by the industry, particularly in the areas of tester education and training and a need for tools supporting more types of testing. The book includes a roadmap for enhancing TaaS to help bridge the gap between potential benefits and actual results. Table of Contents: Introduction / Hard Problems in Software Testing / Testing as a Service (TaaS) / Case Study and Gap Analysis / Summary / Appendix A: Hard Problems in Software Testing Survey / Appendix B: Google App Engine Code Examples / Appendix C: Sauce Labs Code Examples / References / Author Biographies



Hard Problems In Software Testing


Hard Problems In Software Testing
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Author : Scott Tilley
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2014-09-01

Hard Problems In Software Testing written by Scott Tilley and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with Computers categories.


This book summarizes the current hard problems in software testing as voiced by leading practitioners in the field. The problems were identified through a series of workshops, interviews, and surveys. Some of the problems are timeless, such as education and training, while others such as system security have recently emerged as increasingly important. The book also provides an overview of the current state of Testing as a Service (TaaS) based on an exploration of existing commercial offerings and a survey of academic research. TaaS is a relatively new development that offers software testers the elastic computing capabilities and generous storage capacity of the cloud on an as-needed basis. Some of the potential benefits of TaaS include automated provisioning of test execution environments and support for rapid feedback in agile development via continuous regression testing. The book includes a case study of a representative web application and three commercial TaaS tools to determine which hard problems in software testing are amenable to a TaaS solution. The findings suggest there remains a significant gap that must be addressed before TaaS can be fully embraced by the industry, particularly in the areas of tester education and training and a need for tools supporting more types of testing. The book includes a roadmap for enhancing TaaS to help bridge the gap between potential benefits and actual results. Table of Contents: Introduction / Hard Problems in Software Testing / Testing as a Service (TaaS) / Case Study and Gap Analysis / Summary / Appendix A: Hard Problems in Software Testing Survey / Appendix B: Google App Engine Code Examples / Appendix C: Sauce Labs Code Examples / References / Author Biographies



Overcoming Hard Problems In Software Testing With Testing As A Service


Overcoming Hard Problems In Software Testing With Testing As A Service
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Author : Brianna Floss
language : en
Publisher:
Release Date : 2014

Overcoming Hard Problems In Software Testing With Testing As A Service written by Brianna Floss and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.


Software testing is a crucial phase of the software development lifecycle, responsible for assuring that the system under test meets quality standards, requirements, and consumer needs. Unfortunately, software testing is not without flaws. Some problems are timeless while others are brought on by new technologies and methodologies. As software systems grow in size and complexity, quality becomes significantly more difficult to ensure. With recent advancements in cloud computing, the internet's vast and elastic resources are available for testing. Testing as a Service (TaaS) offers accessible services that handle testing activities to consumers on a pay-as-you-test basis in hopes of providing a more efficient and effective way of guaranteeing software quality. This thesis presents the top industry issues and concerns as identified through the Hard Problems in Software Testing survey, followed by a thorough overview of the current state of TaaS based on an exploration of existing commercial offerings and a survey of academic research. These problems are then examined to determine where TaaS can be applied to overcome the issue or offer improvements. The remaining shortcomings are analyzed to generate a roadmap for enhancing TaaS by addressing the hard problems plaguing the industry. The evaluation of three existing tools against academic research and the hard problems indicated by the survey revealed a gap that must be overcome before TaaS can be fully embraced by the industry. While many of the industry concerns were reduced or eliminated by TaaS tools, a few still remain. These challenges appeared the most prominent in the areas of tester education and training, and a need for better tools, including issues such as incorporating fully-automated test case generation, offering greater compatibility and extensibility for external tools, promoting more types of testing, and enhanced security.



Introduction To Software Testing


Introduction To Software Testing
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Author : Paul Ammann
language : en
Publisher: Cambridge University Press
Release Date : 2008-01-28

Introduction To Software Testing written by Paul Ammann and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-28 with Computers categories.


Extensively class-tested, this textbook takes an innovative approach to software testing: it defines testing as the process of applying a few well-defined, general-purpose test criteria to a structure or model of the software. It incorporates the latest innovations in testing, including techniques to test modern types of software such as OO, web applications, and embedded software. The book contains numerous examples throughout. An instructor's solution manual, PowerPoint slides, sample syllabi, additional examples and updates, testing tools for students, and example software programs in Java are available on an extensive website.



Developer Testing


Developer Testing
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Author : Alexander Tarlinder
language : en
Publisher: Addison-Wesley Professional
Release Date : 2016-09-07

Developer Testing written by Alexander Tarlinder and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-07 with Computers categories.


How do successful agile teams deliver bug-free, maintainable software—iteration after iteration? The answer is: By seamlessly combining development and testing. On such teams, the developers write testable code that enables them to verify it using various types of automated tests. This approach keeps regressions at bay and prevents “testing crunches”—which otherwise may occur near the end of an iteration—from ever happening. Writing testable code, however, is often difficult, because it requires knowledge and skills that cut across multiple disciplines. In Developer Testing, leading test expert and mentor Alexander Tarlinder presents concise, focused guidance for making new and legacy code far more testable. Tarlinder helps you answer questions like: When have I tested this enough? How many tests do I need to write? What should my tests verify? You’ll learn how to design for testability and utilize techniques like refactoring, dependency breaking, unit testing, data-driven testing, and test-driven development to achieve the highest possible confidence in your software. Through practical examples in Java, C#, Groovy, and Ruby, you’ll discover what works—and what doesn’t. You can quickly begin using Tarlinder’s technology-agnostic insights with most languages and toolsets while not getting buried in specialist details. The author helps you adapt your current programming style for testability, make a testing mindset “second nature,” improve your code, and enrich your day-to-day experience as a software professional. With this guide, you will Understand the discipline and vocabulary of testing from the developer’s standpoint Base developer tests on well-established testing techniques and best practices Recognize code constructs that impact testability Effectively name, organize, and execute unit tests Master the essentials of classic and “mockist-style” TDD Leverage test doubles with or without mocking frameworks Capture the benefits of programming by contract, even without runtime support for contracts Take control of dependencies between classes, components, layers, and tiers Handle combinatorial explosions of test cases, or scenarios requiring many similar tests Manage code duplication when it can’t be eliminated Actively maintain and improve your test suites Perform more advanced tests at the integration, system, and end-to-end levels Develop an understanding for how the organizational context influences quality assurance Establish well-balanced and effective testing strategies suitable for agile teams



How Google Tests Software


How Google Tests Software
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Author : James A. Whittaker
language : en
Publisher: Addison-Wesley Professional
Release Date : 2012

How Google Tests Software written by James A. Whittaker and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.


2012 Jolt Award finalist! Pioneering the Future of Software Test Do you need to get it right, too? Then, learn from Google. Legendary testing expert James Whittaker, until recently a Google testing leader, and two top Google experts reveal exactly how Google tests software, offering brand-new best practices you can use even if you're not quite Google's size...yet! Breakthrough Techniques You Can Actually Use Discover 100% practical, amazingly scalable techniques for analyzing risk and planning tests...thinking like real users...implementing exploratory, black box, white box, and acceptance testing...getting usable feedback...tracking issues...choosing and creating tools...testing "Docs & Mocks," interfaces, classes, modules, libraries, binaries, services, and infrastructure...reviewing code and refactoring...using test hooks, presubmit scripts, queues, continuous builds, and more. With these techniques, you can transform testing from a bottleneck into an accelerator-and make your whole organization more productive!



Program Manager


Program Manager
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Author :
language : en
Publisher:
Release Date : 1988

Program Manager written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with United States categories.




Computational Intelligence Techniques And Their Applications To Software Engineering Problems


Computational Intelligence Techniques And Their Applications To Software Engineering Problems
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Author : Ankita Bansal
language : en
Publisher: CRC Press
Release Date : 2020-09-27

Computational Intelligence Techniques And Their Applications To Software Engineering Problems written by Ankita Bansal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-27 with Computers categories.


Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book: Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing and reliability problems



Proceedings Of International Conference On Emerging Technologies And Intelligent Systems


Proceedings Of International Conference On Emerging Technologies And Intelligent Systems
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Author : Mostafa Al-Emran
language : en
Publisher: Springer Nature
Release Date : 2021-08-07

Proceedings Of International Conference On Emerging Technologies And Intelligent Systems written by Mostafa Al-Emran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-07 with Technology & Engineering categories.


This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on three different themes, including software engineering, ICT in education, and management information systems. Each chapter contributes to the aforementioned themes by discussing the recent design, developments, and modifications of intelligent systems and their applications.



Testing Object Oriented Systems


Testing Object Oriented Systems
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Author : Robert Binder
language : en
Publisher: Addison-Wesley Professional
Release Date : 2000

Testing Object Oriented Systems written by Robert Binder and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.


More than ever, mission-critical and business-critical applications depend on object-oriented (OO) software. Testing techniques tailored to the unique challenges of OO technology are necessary to achieve high reliability and quality. "Testing Object-Oriented Systems: Models, Patterns, and Tools" is an authoritative guide to designing and automating test suites for OO applications. This comprehensive book explains why testing must be model-based and provides in-depth coverage of techniques to develop testable models from state machines, combinational logic, and the Unified Modeling Language (UML). It introduces the test design pattern and presents 37 patterns that explain how to design responsibility-based test suites, how to tailor integration and regression testing for OO code, how to test reusable components and frameworks, and how to develop highly effective test suites from use cases. Effective testing must be automated and must leverage object technology. The author describes how to design and code specification-based assertions to offset testability losses due to inheritance and polymorphism. Fifteen micro-patterns present oracle strategies--practical solutions for one of the hardest problems in test design. Seventeen design patterns explain how to automate your test suites with a coherent OO test harness framework. The author provides thorough coverage of testing issues such as: The bug hazards of OO programming and differences from testing procedural code How to design responsibility-based tests for classes, clusters, and subsystems using class invariants, interface data flow models, hierarchic state machines, class associations, and scenario analysis How to support reuse by effective testing of abstract classes, generic classes, components, and frameworks How to choose an integration strategy that supports iterative and incremental development How to achieve comprehensive system testing with testable use cases How to choose a regression test approach How to develop expected test results and evaluate the post-test state of an object How to automate testing with assertions, OO test drivers, stubs, and test frameworks Real-world experience, world-class best practices, and the latest research in object-oriented testing are included. Practical examples illustrate test design and test automation for Ada 95, C++, Eiffel, Java, Objective-C, and Smalltalk. The UML is used throughout, but the test design patterns apply to systems developed with any OO language or methodology. 0201809389B04062001