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New Trends in Intelligent Software Methodologies, Tools and Techniques

Download or Read eBook New Trends in Intelligent Software Methodologies, Tools and Techniques PDF written by H. Fujita and published by IOS Press. This book was released on 2022-10-11 with total page 744 pages. Available in PDF, EPUB and Kindle.
New Trends in Intelligent Software Methodologies, Tools and Techniques
Author :
Publisher : IOS Press
Total Pages : 744
Release :
ISBN-10 : 9781643683171
ISBN-13 : 1643683179
Rating : 4/5 (71 Downloads)

Book Synopsis New Trends in Intelligent Software Methodologies, Tools and Techniques by : H. Fujita

Book excerpt: The integration of applied intelligence with software has been an essential enabler for science and the new economy, creating new possibilities for a more reliable, flexible and robust society. But current software methodologies, tools, and techniques often fall short of expectations, and are not yet sufficiently robust or reliable for a constantly changing and evolving market. This book presents the proceedings of SoMeT_22, the 21st International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, held from 20 - 22 September 2022 in Kitakyushu, Japan. The SoMeT conference provides a platform for the exchange of ideas and experience in the field of software technology, with the emphasis on human-centric software methodologies, end-user development techniques, and emotional reasoning for optimal performance. The 58 papers presented here were each carefully reviewed by 3 or 4 referees for technical soundness, relevance, originality, significance and clarity, they were then revised before being selected by the international reviewing committee. The papers are arranged in 9 chapters: software systems with intelligent design; software systems security and techniques; formal techniques for system software and quality assessment; applied intelligence in software; intelligent decision support systems; cyber-physical systems; knowledge science and intelligent computing; ontology in data and software; and machine learning in systems software. The book assembles the work of scholars from the international research community to capture the essence of the new state-of-the-art in software science and its supporting technology, and will be of interest to all those working in the field.


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