Artificial Intelligence Methods in Software Testing

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Author :
Publisher : World Scientific
ISBN 13 : 9814482609
Total Pages : 220 pages
Book Rating : 4.08/5 ( download)

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Book Synopsis Artificial Intelligence Methods in Software Testing by : Mark Last

Download or read book Artificial Intelligence Methods in Software Testing written by Mark Last and published by World Scientific. This book was released on 2004-06-03 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area. Contents:Fuzzy Cause–Effect Models of Software Testing (W Pedrycz & G Vukovich)Black-Box Testing with Info-Fuzzy Networks (M Last & M Friedman)Automated GUI Regression Testing Using AI Planning (A M Memon)Test Set Generation and Reduction with Artificial Neural Networks (P Saraph et al.)Three-Group Software Quality Classification Modeling Using an Automated Reasoning Approach (T M Khoshgoftaar & N Seliya)Data Mining with Resampling in Software Metrics Databases (S Dick & A Kandel) Readership: Students, researchers and professionals in computer science, information systems, software testing and data mining. Keywords:Artificial Intelligence;Data Mining;Software Testing;System Testing;Software Quality;Software Engineering;Software MetricsKey Features:Coverage of novel methods for software testing and software quality assuranceIntroduction to state-of-the-art data mining models and techniquesAnalyses of new and promising application domains of artificial intelligence and data mining in software quality engineeringContributions from leading authors in the fields of software engineering and data mining

The Future of Software Quality Assurance

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Author :
Publisher : Springer Nature
ISBN 13 : 3030295095
Total Pages : 272 pages
Book Rating : 4.97/5 ( download)

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Book Synopsis The Future of Software Quality Assurance by : Stephan Goericke

Download or read book The Future of Software Quality Assurance written by Stephan Goericke and published by Springer Nature. This book was released on 2019-11-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book, published to mark the 15th anniversary of the International Software Quality Institute (iSQI), is intended to raise the profile of software testers and their profession. It gathers contributions by respected software testing experts in order to highlight the state of the art as well as future challenges and trends. In addition, it covers current and emerging technologies like test automation, DevOps, and artificial intelligence methodologies used for software testing, before taking a look into the future. The contributing authors answer questions like: "How is the profession of tester currently changing? What should testers be prepared for in the years to come, and what skills will the next generation need? What opportunities are available for further training today? What will testing look like in an agile world that is user-centered and fast-paced? What tasks will remain for testers once the most important processes are automated?" iSQI has been focused on the education and certification of software testers for fifteen years now, and in the process has contributed to improving the quality of software in many areas. The papers gathered here clearly reflect the numerous ways in which software quality assurance can play a critical role in various areas. Accordingly, the book will be of interest to both professional software testers and managers working in software testing or software quality assurance.

Artificial Intelligence Methods for Optimization of the Software Testing Process

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Author :
Publisher : Academic Press
ISBN 13 : 0323912826
Total Pages : 232 pages
Book Rating : 4.22/5 ( download)

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Book Synopsis Artificial Intelligence Methods for Optimization of the Software Testing Process by : Sahar Tahvili

Download or read book Artificial Intelligence Methods for Optimization of the Software Testing Process written by Sahar Tahvili and published by Academic Press. This book was released on 2022-07-21 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems. The concept of intelligent decision making is presented as a multi-criteria, multi-objective undertaking. The book provides guidelines on how to manage diverse types of uncertainty with intelligent decision-making that can help subject matter experts in many industries improve various processes in a more efficient way. As the number of required test cases for testing a product can be large (in industry more than 10,000 test cases are usually created). Executing all these test cases without any particular order can impact the results of the test execution, hence this book fills the need for a comprehensive resource on the topics on the how's, what's and whys. To learn more about Elsevier’s Series, Uncertainty, Computational Techniques and Decision Intelligence, please visit this link: https://www.elsevier.com/books-and-journals/book-series/uncertainty-computational-techniques-and-decision-intelligence Presents one of the first empirical studies in the field, contrasting theoretical assumptions on innovations in a real industrial environment with a large set of use cases from developed and developing testing processes at various large industries Explores specific comparative methodologies, focusing on developed and developing AI-based solutions Serves as a guideline for conducting industrial research in the artificial intelligence and software testing domain Explains all proposed solutions through real industrial case studies

Artificial Intelligence Methods For Software Engineering

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Author :
Publisher : World Scientific
ISBN 13 : 9811239932
Total Pages : 457 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Artificial Intelligence Methods For Software Engineering by : Meir Kalech

Download or read book Artificial Intelligence Methods For Software Engineering written by Meir Kalech and published by World Scientific. This book was released on 2021-06-15 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s)

How Google Tests Software

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Author :
Publisher : Addison-Wesley
ISBN 13 : 0132851555
Total Pages : 316 pages
Book Rating : 4.58/5 ( download)

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Book Synopsis How Google Tests Software by : James A. Whittaker

Download or read book How Google Tests Software written by James A. Whittaker and published by Addison-Wesley. This book was released on 2012-03-21 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Artificial Intelligence and the Future of Testing

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Publisher : Psychology Press
ISBN 13 : 9780805801170
Total Pages : 348 pages
Book Rating : 4.70/5 ( download)

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Book Synopsis Artificial Intelligence and the Future of Testing by : Roy O. Freedle

Download or read book Artificial Intelligence and the Future of Testing written by Roy O. Freedle and published by Psychology Press. This book was released on 1990 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.

Accelerating Software Quality

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Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 357 pages
Book Rating : 4.44/5 ( download)

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Book Synopsis Accelerating Software Quality by : Eran Kinsbruner

Download or read book Accelerating Software Quality written by Eran Kinsbruner and published by Independently Published. This book was released on 2020-08-10 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Accelerating Software Quality: Machine Learning and Artificial Intelligence in the Age of DevOps" is a complete asset for software developers, testers, and managers that are on their journey to a more mature DevOps workflow, and struggle with better automation and data-driven decision making. DevOps is a mature process across the entire market, however, with existing Non-AI/ML technologies and models, it comes short in expediting release cycle, identifying productivity gaps and addressing them. This book, that was implemented by myself with the help of leaders from the DevOps and test automation space, is covering topics from basic introduction to AI and ML in software development and testing, implications of AI and ML on existing apps, processes, and tools, practical tips in applying commercial and open-source AI/ML tools within existing tool chain, chat-bots testing, visual based testing using AI, automated security scanning for vulnerabilities, automated code reviews, API testing and management using AI/ML, reducing effort and time through test impact analysis (TIA), robotic process automation (RPA), AIOps for smarter code deployments and production defects prevention, and many more.When properly leveraging such tools, DevOps teams can benefit from greater code quality and functional and non-functional test automation coverage. This increases their release cycle velocity, reduces noise and software waste, and enhances their app quality.The book is divided into 3 main sections: *Section 1 covers the fundamentals of AI and ML in software development and testing. It includes introductions, definitions, 101 for testing AI-Based applications, classifications of AI/ML and defects that are tied to AI/ML, and more.*Section 2 focuses on practical advises and recommendations for using AI/ML based solutions within software development activities. This section includes topics like visual AI test automation, AI in test management, testing conversational AI applications, RPA benefits, API testing and much more.*Section 3 covers the more advanced and future-looking angles of AI and ML with projections and unique use cases. Among the topics in this section are AI and ML in logs observability, AIOps benefits to an entire DevOps teams, how to maintain AI/ML test automation, Test impact analysis with AI, and more.The book is packed with many proven best practices, real life examples, and many other open source and commercial solution recommendations that are set to shape the future of DevOps together with ML/AI

2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)

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Publisher :
ISBN 13 : 9781538679432
Total Pages : pages
Book Rating : 4.34/5 ( download)

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Book Synopsis 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) by : IEEE Staff

Download or read book 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) written by IEEE Staff and published by . This book was released on 2019-04-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This international conference provides a unique forum to discuss practical approaches and state of the art findings in using the applied electrical engineering and computing technologies to solve national problems that face Jordan and other developing countries

Artificial Intelligence and Software Testing

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.41/5 ( download)

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Book Synopsis Artificial Intelligence and Software Testing by : Rex Black

Download or read book Artificial Intelligence and Software Testing written by Rex Black and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores AI from that angle and is aimed at testing and quality management practitioners who want to understand more, starting with the relationship between AI and trustworthiness, the issue of bias, and the complexities of testing machine learning systems. --

Modern System Administration

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492055182
Total Pages : 328 pages
Book Rating : 4.81/5 ( download)

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Book Synopsis Modern System Administration by : Jennifer Davis

Download or read book Modern System Administration written by Jennifer Davis and published by "O'Reilly Media, Inc.". This book was released on 2022-11-16 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early system administration required in-depth knowledge of a variety of services on individual systems. Now, the job is increasingly complex and different from one company to the next with an ever-growing list of technologies and third-party services to integrate. How does any one individual stay relevant in systems and services? This practical guide helps anyone in operations—sysadmins, automation engineers, IT professionals, and site reliability engineers—understand the essential concepts of the role today. Collaboration, automation, and the evolution of systems change the fundamentals of operations work. No matter where you are in your journey, this book provides you the information to craft your path to advancing essential system administration skills. Author Jennifer Davis provides examples of modern practices and tools with recommended materials to advance your skills. Topics include: Development and testing: Version control, fundamentals of virtualization and containers, testing, and architecture review Deploying and configuring services: Infrastructure management, networks, security, storage, serverless, and release management Scaling administration: Monitoring and observability, capacity planning, log management and analysis, and security and compliance