Artificial intelligence methods for software engineering[electronic resource]
- 其他作者: Kalech, Meir. , Abreu, Rui. , Last, Mark.
- 出版: Singapore : World Scientific c2021.
- 稽核項: 1 online resource (456 p.).
- 標題: Engineering applications. , Artificial intelligence Engineering applications. , Software engineering. , Artificial intelligence
- ISBN: 9811239932 , 9789811239939
- ISBN: 9789811239915 , 9811239916
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index. Preface -- AI for software design. Interweaving ai and behavioral programming towards better programming environments -- AI techniques for software requirements prioritization -- Agent-based software programming. Social commitments for engineering interaction in distributed systems -- Intelligent agents are more complex: initial empirical findings -- AI for software development. Sequence-to-sequence learning for automated software artifact generation -- Machine learning to support code reviews in continuous integration -- Software fusion: deep design learning with deterministic Laplacian verification -- Using artificial intelligence for auto-generating software for cyber-physical applications -- AI for software testing. On the application of machine learning in software testing -- Creating test oracles using machine learning techniques -- Intelligent risk based analysis methodology -- A qualitative reasoning model for software testing, based on combinatorial geometry -- AI for software debugging. AI-based spreadsheet debugging -- Artificial intelligence methods for software debugging -- Index.
- 摘要: "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."--
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.worldscientific.com/worldscibooks/10.1142/12360#t=toc
- 系統號: 005332041
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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)
來源: Google Book
來源: Google Book
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