Artificial Intelligence Methods For Software Engineering

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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)

Artificial Intelligence Methods for Software Engineering

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Publisher :
ISBN 13 : 9789811239922
Total Pages : 440 pages
Book Rating : 4.24/5 ( 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 . This book was released on 2021 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Methods in Software Testing

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Publisher : World Scientific
ISBN 13 : 9812794751
Total Pages : 221 pages
Book Rating : 4.58/5 ( download)

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Book Synopsis Artificial Intelligence Methods in Software Testing by : Horst Bunke

Download or read book Artificial Intelligence Methods in Software Testing written by Horst Bunke and published by World Scientific. This book was released on 2004 with total page 221 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 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."

Advances in Machine Learning Applications in Software Engineering

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Publisher : IGI Global
ISBN 13 : 1591409438
Total Pages : 498 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Advances in Machine Learning Applications in Software Engineering by : Zhang, Du

Download or read book Advances in Machine Learning Applications in Software Engineering written by Zhang, Du and published by IGI Global. This book was released on 2006-10-31 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field"--Provided by publisher.

Artificial Intelligence and Software Engineering

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Publisher : Routledge
ISBN 13 : 1136594531
Total Pages : 296 pages
Book Rating : 4.33/5 ( download)

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Book Synopsis Artificial Intelligence and Software Engineering by : Derek Partridge

Download or read book Artificial Intelligence and Software Engineering written by Derek Partridge and published by Routledge. This book was released on 2013-04-11 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence Methods for Optimization of the Software Testing Process

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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 Applications for Improved Software Engineering Development: New Prospects

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Publisher : IGI Global
ISBN 13 : 1605667595
Total Pages : 372 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects by : Meziane, Farid

Download or read book Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects written by Meziane, Farid and published by IGI Global. This book was released on 2009-07-31 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement"--Provided by publisher.

2018 4th International Conference on Computing Communication and Automation (ICCCA)

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Publisher :
ISBN 13 : 9781538669488
Total Pages : pages
Book Rating : 4.8X/5 ( download)

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Book Synopsis 2018 4th International Conference on Computing Communication and Automation (ICCCA) by : IEEE Staff

Download or read book 2018 4th International Conference on Computing Communication and Automation (ICCCA) written by IEEE Staff and published by . This book was released on 2018-12-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: School of Computing Science & Engineering of Galgotias University Uttar Pradesh, invites you to associate with us for upcoming conference, ICCCA2018, a two day International Conference to be held on December 14 15, 2018 ICCCA2018 International Conference on Computing, Communication and Automation team with pleasure invites you to contribute with original research papers, to this blind and peer reviewed conference

Handbook on Artificial Intelligence-Empowered Applied Software Engineering

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Publisher : Springer Nature
ISBN 13 : 3031082028
Total Pages : 342 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Handbook on Artificial Intelligence-Empowered Applied Software Engineering by : Maria Virvou

Download or read book Handbook on Artificial Intelligence-Empowered Applied Software Engineering written by Maria Virvou and published by Springer Nature. This book was released on 2022-09-03 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.

Optimising the Software Development Process with Artificial Intelligence

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Publisher :
ISBN 13 : 9789811999499
Total Pages : 0 pages
Book Rating : 4.9X/5 ( download)

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Book Synopsis Optimising the Software Development Process with Artificial Intelligence by : José Raúl Romero

Download or read book Optimising the Software Development Process with Artificial Intelligence written by José Raúl Romero and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.