Artificial Intelligence Methods In Software Testing

Author : Meir Kalech,Rui Abreu,Mark Last
Publisher : World Scientific
Page : 457 pages
File Size : 51,7 Mb
Release : 2021-06-15
Category : Computers
ISBN : 9789811239939

Get Book

Artificial Intelligence Methods For Software Engineering by Meir Kalech,Rui Abreu,Mark Last Pdf

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,Mark Last,Abraham Kandel
Publisher : World Scientific
Page : 221 pages
File Size : 47,7 Mb
Release : 2004
Category : Computers
ISBN : 9789812794758

Get Book

Artificial Intelligence Methods in Software Testing by Horst Bunke,Mark Last,Abraham Kandel Pdf

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 : Sahar Tahvili,Leo Hatvani
Publisher : Academic Press
Page : 232 pages
File Size : 48,6 Mb
Release : 2022-07-21
Category : Computers
ISBN : 9780323912822

Get Book

Artificial Intelligence Methods for Optimization of the Software Testing Process by Sahar Tahvili,Leo Hatvani Pdf

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 : Mark Last,Abraham Kandel,Horst Bunke
Publisher : World Scientific
Page : 220 pages
File Size : 53,5 Mb
Release : 2004-06-03
Category : Computers
ISBN : 9789814482608

Get Book

Artificial Intelligence Methods in Software Testing by Mark Last,Abraham Kandel,Horst Bunke Pdf

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

Author : Stephan Goericke
Publisher : Springer Nature
Page : 272 pages
File Size : 54,9 Mb
Release : 2019-11-19
Category : Computers
ISBN : 9783030295097

Get Book

The Future of Software Quality Assurance by Stephan Goericke Pdf

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 : Derek Partridge
Publisher : Routledge
Page : 296 pages
File Size : 49,9 Mb
Release : 2013-04-11
Category : Business & Economics
ISBN : 9781136594533

Get Book

Artificial Intelligence and Software Engineering by Derek Partridge Pdf

Managers, business owners, computer literate individuals, software developers, students, and researchers--all are looking for an understanding of artificial intelligence (AI) and what might be in the future. In this literate yet easy-to-read discussion, Derek Partridge explains what artificial intelligence can and cannot do, and what it holds for applications such as banking, financial services, and expert systems of all kinds. Topics include: the strengths and weaknesses of software development and engineering; machine learning and its promises and problems; expert systems and success stories; and practical software through artificial intelligence.

Author : Manju Khari,Deepti Bala Mishra,Biswaranjan Acharya,Ruben Gonzalez Crespo
Publisher : Springer Nature
Page : 189 pages
File Size : 51,5 Mb
Release : 2022-09-26
Category : Technology & Engineering
ISBN : 9783031072970

Get Book

Optimization of Automated Software Testing Using Meta-Heuristic Techniques by Manju Khari,Deepti Bala Mishra,Biswaranjan Acharya,Ruben Gonzalez Crespo Pdf

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 : Anup Sahoo
Publisher : OrangeBooks Publication
Page : 348 pages
File Size : 52,9 Mb
Release : 2023-11-27
Category : Juvenile Nonfiction
ISBN : 8210379456XXX

Get Book

AI-Infused Test Automation: Revolutionizing Software Testing through Artificial Intelligence by Anup Sahoo Pdf

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 : José Raúl Romero,Inmaculada Medina-Bulo,Francisco Chicano
Publisher : Springer Nature
Page : 349 pages
File Size : 46,9 Mb
Release : 2023-07-19
Category : Computers
ISBN : 9789811999482

Get Book

Optimising the Software Development Process with Artificial Intelligence by José Raúl Romero,Inmaculada Medina-Bulo,Francisco Chicano Pdf

This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples. Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering.

Author : Rex Black,James Davenport,Joanna Olszewska,Jeremias Robler,Adam Leon Smith,Jonathon Wright
Publisher : Unknown
Page : 0 pages
File Size : 48,5 Mb
Release : 2022
Category : Artificial intelligence
ISBN : OCLC:1341686041

Get Book

Artificial Intelligence and Software Testing by Rex Black,James Davenport,Joanna Olszewska,Jeremias Robler,Adam Leon Smith,Jonathon Wright Pdf

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. --

Author : Scott Dick,Abraham Kandel
Publisher : World Scientific
Page : 199 pages
File Size : 43,6 Mb
Release : 2005
Category : Computers
ISBN : 9789812703477

Get Book

Computational Intelligence in Software Quality Assurance by Scott Dick,Abraham Kandel Pdf

Software systems surround us. Software is a critical component in everything from the family car through electrical power systems to military equipment. As software plays an ever-increasing role in our lives and livelihoods, the quality of that software becomes more and more critical. However, our ability to deliver high-quality software has not kept up with those increasing demands. The economic fallout is enormous; the US economy alone is losing over US$50 billion per year due to software failures. This book presents new research into using advanced artificial intelligence techniques to guide software quality improvements. The techniques of chaos theory and data mining are brought to bear to provide new insights into the software development process. Written for researchers and practitioners in software engineering and computational intelligence, this book is a unique and important bridge between these two fields.

Author : Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary
Publisher : CRC Press
Page : 809 pages
File Size : 53,7 Mb
Release : 2020-09-27
Category : Computers
ISBN : 9781000191943

Get Book

Computational Intelligence Techniques and Their Applications to Software Engineering Problems by Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary Pdf

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

Author : Radek Silhavy,Petr Silhavy,Zdenka Prokopova
Publisher : Springer Nature
Page : 1167 pages
File Size : 49,8 Mb
Release : 2020-12-15
Category : Technology & Engineering
ISBN : 9783030633226

Get Book

Software Engineering Perspectives in Intelligent Systems by Radek Silhavy,Petr Silhavy,Zdenka Prokopova Pdf

This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. Software engineering, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.

Author : Roger Lee
Publisher : Springer Nature
Page : 177 pages
File Size : 54,5 Mb
Release : 2024-06-28
Category : Electronic
ISBN : 9783031563881

Get Book

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing by Roger Lee Pdf

Author : Du Zhang,Jeffrey J. P. Tsai
Publisher : World Scientific
Page : 368 pages
File Size : 50,8 Mb
Release : 2005
Category : Computers
ISBN : 9789812560940

Get Book

Machine Learning Applications in Software Engineering by Du Zhang,Jeffrey J. P. Tsai Pdf

A collection of previously published articles from a variety of publications.