Artificial Intelligence Methods In Software Testing
DOWNLOAD
Download Artificial Intelligence Methods In Software Testing PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence Methods In Software Testing book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence Methods In Software Testing
DOWNLOAD
Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 2004
Artificial Intelligence Methods In Software Testing written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
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."
Artificial Intelligence Methods For Software Engineering
DOWNLOAD
Author : Meir Kalech
language : en
Publisher: World Scientific
Release Date : 2021-06-15
Artificial Intelligence Methods For Software Engineering written by Meir Kalech and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.
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)
Artificial Intelligence Methods In Software Testing
DOWNLOAD
Author : Mark Last
language : en
Publisher: World Scientific
Release Date : 2004-06-03
Artificial Intelligence Methods In Software Testing written by Mark Last and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-03 with Computers categories.
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.
Artificial Intelligence Methods For Optimization Of The Software Testing Process
DOWNLOAD
Author : Sahar Tahvili
language : en
Publisher: Academic Press
Release Date : 2022-07-21
Artificial Intelligence Methods For Optimization Of The Software Testing Process written by Sahar Tahvili and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-21 with Computers categories.
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
Optimization Of Automated Software Testing Using Meta Heuristic Techniques
DOWNLOAD
Author : Manju Khari
language : en
Publisher: Springer Nature
Release Date : 2022-09-26
Optimization Of Automated Software Testing Using Meta Heuristic Techniques written by Manju Khari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Technology & Engineering categories.
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. ·
Machine Learning Ecml
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2004
Machine Learning Ecml written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Induction (Logic) categories.
Computers For Artificial Intelligence Processing
DOWNLOAD
Author : Benjamin W. Wah
language : en
Publisher: Wiley-Interscience
Release Date : 1990-10-12
Computers For Artificial Intelligence Processing written by Benjamin W. Wah and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-10-12 with Computers categories.
The present book supports the increasing complexity and the growing need for computational power of artificial intelligence (AI) by providing comprehensive treatments of new hardware and software engineering met in AI language design and applications. The book is a collection of 16 substantial papers (chapters), the contributors being 51 well-known researchers in the AI fields. The papers are grouped into the following five sections: Section 1 represents a well documented survey on symbolic processing computers. Section 2 (Language-based AI Architectures) supports the design and implementation of AI language-oriented computers. Three (2-4) chapters are devoted to (computer architecture concerning) sequential Lisp processing: architectural features of Lisp computers, Symbolics’ Lisp computer architecture, memory management and performance evaluation of a Lisp machine system. Other three (5-7) chapters discuss multiprocessing and parallel processing of Lisp (and general functional) programs. The last two chapters of section 2 are presenting architectures supporting object-oriented programming (Smalltalk) and production systems. Section 3 (Multiprocessor AI Architecture) contains two (10-11) chapters, dealing with Connection Machine architecture and its applications, and with the design of data/knowledge base machines for AI processing. Section 4 (Connectionist Architectures and Applications) include two (12-13) chapters, illustrating the connectionist model architecture design and learning. Section 5 (Software Architectures for AI Applications) is made up of three (14-16) chapters, analysing the relationship between AI and software engineering, the development tools for AI programs, and the problem of AI hardware and software reliability. This book addresses a wide range of AI readers, from beginners to professionals. It carries forth doubtless qualities: compact and well-dimensioned chapters, comprehensively written by AI remarkable professionals, covering up-to-date AI topics and trends.
Ai Driven Software Testing
DOWNLOAD
Author : Srinivasa Rao Bittla
language : en
Publisher: Springer Nature
Release Date : 2025-10-21
Ai Driven Software Testing written by Srinivasa Rao Bittla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-21 with Computers categories.
AI-Driven Software Testing explores how Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing quality engineering (QE), making testing more intelligent, efficient, and adaptive. The book begins by examining the critical role of QE in modern software development and the paradigm shift introduced by AI/ML. It traces the evolution of software testing, from manual approaches to AI-powered automation, highlighting key innovations that enhance accuracy, speed, and scalability. Readers will gain a deep understanding of quality engineering in the age of AI, comparing traditional and AI-driven testing methodologies to uncover their advantages and challenges. Moving into practical applications, the book delves into AI-enhanced test planning, execution, and defect management. It explores AI-driven test case development, intelligent test environments, and real-time monitoring techniques that streamline the testing lifecycle. Additionally, it covers AI’s impact on continuous integration and delivery (CI/CD), predictive analytics for failure prevention, and strategies for scaling AI-driven testing across cloud platforms. Finally, it looks ahead to the future of AI in software testing, discussing emerging trends, ethical considerations, and the evolving role of QE professionals in an AI-first world. With real-world case studies and actionable insights, AI-Driven Software Testing is an essential guide for QE engineers, developers, and tech leaders looking to harness AI for smarter, faster, and more reliable software testing. What you will learn: • What are the key principles of AI/ML-driven quality engineering • What is intelligent test case generation and adaptive test automation • Explore predictive analytics for defect prevention and risk assessment • Understand integration of AI/ML tools in CI/CD pipelines Who this book is for: Quality Engineers looking to enhance software testing with AI-driven techniques. Data Scientists exploring AI applications in software quality assurance and engineering. Software Developers – Engineers seeking to integrate AI/ML into testing and automation workflows.
The Directory Of Graduate Studies
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1999
The Directory Of Graduate Studies written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Research categories.
Industrial Software Technology
DOWNLOAD
Author : Institution of Electrical Engineers
language : en
Publisher: Institution of Engineering & Technology
Release Date : 1987
Industrial Software Technology written by Institution of Electrical Engineers and has been published by Institution of Engineering & Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Business & Economics categories.
This book brings together twenty one papers on developments in software technology, selected from papers presented at recent European Seminars on Industrial Software Technology organised by the European Workshop on Industrial Computer Systems (EWICS).