Artificial Intelligence Methods In Software Testing PDF Download
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| Author | : Meir Kalech |
| Publisher | : World Scientific |
| Total Pages | : 457 |
| Release | : 2021-06-15 |
| Genre | : Computers |
| ISBN | : 9811239932 |
Download Artificial Intelligence Methods For Software Engineering Book in PDF, ePub and Kindle
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)
| Author | : Horst Bunke |
| Publisher | : World Scientific |
| Total Pages | : 221 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 9812794751 |
Download Artificial Intelligence Methods in Software Testing Book in PDF, ePub and Kindle
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 CauseOCoEffect 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."
| Author | : Mark Last |
| Publisher | : World Scientific |
| Total Pages | : 221 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 9812388540 |
Download Artificial Intelligence Methods in Software Testing Book in PDF, ePub and Kindle
- Coverage of novel methods for software testing and software quality assurance - Introduction to state-of-the-art data mining models and techniques - Analyses of new and promising application domains of artificial intelligence and data mining in software quality engineering - Contributions from leading authors in the fields of software engineering and data mining.
| Author | : Stephan Goericke |
| Publisher | : Springer Nature |
| Total Pages | : 272 |
| Release | : 2019-11-19 |
| Genre | : Computers |
| ISBN | : 3030295095 |
Download The Future of Software Quality Assurance Book in PDF, ePub and Kindle
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.
| Author | : Sahar Tahvili |
| Publisher | : Academic Press |
| Total Pages | : 232 |
| Release | : 2022-07-21 |
| Genre | : Computers |
| ISBN | : 0323912826 |
Download Artificial Intelligence Methods for Optimization of the Software Testing Process Book in PDF, ePub and Kindle
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
| Author | : Anup Sahoo |
| Publisher | : OrangeBooks Publication |
| Total Pages | : 348 |
| Release | : 2023-11-27 |
| Genre | : Juvenile Nonfiction |
| ISBN | : |
Download AI-Infused Test Automation: Revolutionizing Software Testing through Artificial Intelligence Book in PDF, ePub and Kindle
AI-Infused Test Automation: Revolutionizing Software Testing through Artificial Intelligence is an enlightening book that explores the transformative power of AI in software testing. It covers a wide range of AI-driven techniques, tools, and practices, providing readers with a comprehensive understanding of how AI has revolutionized the field. The book inspires readers to embrace AI and leverage its capabilities to enhance test case generation, bug detection, performance testing, and test management. With AI, readers can achieve higher productivity, improved software quality, and enhanced customer satisfaction. This book catalyzes readers to embark on their AI-infused testing journey, driving innovation and shaping the future of software testing.
| Author | : Manju Khari |
| Publisher | : Springer Nature |
| Total Pages | : 189 |
| Release | : 2022-09-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3031072979 |
Download Optimization of Automated Software Testing Using Meta-Heuristic Techniques Book in PDF, ePub and Kindle
This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. ·
| Author | : Adam Leon Smith |
| Publisher | : BCS, The Chartered Institute for IT |
| Total Pages | : 120 |
| Release | : 2022-01-24 |
| Genre | : |
| ISBN | : 9781780175768 |
Download Artificial Intelligence and Software Testing Book in PDF, ePub and Kindle
AI presents a new paradigm in the development of software, representing the biggest change to how we think about quality and testing in decades. Many well known issues around AI manifest as quality management problems. This book explores AI from that angle and is aimed at testing and quality management practitioners who want to understand more.
| Author | : Ben Shneiderman |
| Publisher | : Oxford University Press |
| Total Pages | : 390 |
| Release | : 2022 |
| Genre | : Computers |
| ISBN | : 0192845292 |
Download Human-Centered AI Book in PDF, ePub and Kindle
The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.
| Author | : Du Zhang |
| Publisher | : World Scientific |
| Total Pages | : 367 |
| Release | : 2005-02-21 |
| Genre | : Computers |
| ISBN | : 9814481424 |
Download Machine Learning Applications In Software Engineering Book in PDF, ePub and Kindle
Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area.
