國立虎尾科技大學 |

Artificial intelligence methods for software engineering

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial intelligence methods for software engineering/ editors, Meir Kalech, Rui Abreu, Mark Last.
其他作者:	Last, Mark.
出版者:	Singapore :World Scientific, : c2021.,
面頁冊數:	1 online resource (456 p.)
標題:	Artificial intelligence - Engineering applications. -
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/12360#t=toc
ISBN:	9789811239922

Artificial intelligence methods for software engineering
Artificial intelligence methods for software engineering[electronic resource] /editors, Meir Kalech, Rui Abreu, Mark Last. - Singapore :World Scientific,c2021. - 1 online resource (456 p.)

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.

"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."--

Mode of access: World Wide Web.

ISBN: 9789811239922Subjects--Topical Terms:

1421312
Artificial intelligence
-- Engineering applications.

LC Class. No.: QA76.758

Dewey Class. No.: 005.1

Artificial intelligence methods for software engineering
LDR:02690cam a2200313 a 4500 001 1109835
003 WSP
006 m o d
007 cr cnu---unuuu
008 231110s2021 si ob 001 0 eng d
020 $a 9789811239922 $q (ebook)
020 $a 9811239924 $q (ebook)
020 $a 9789811239939 $q (ebook)
020 $z 9789811239915 $q (hbk.)
020 $z 9811239916 $q (hbk.)
035 $a ws00012360
040 $a WSPC $b eng $c WSPC
041 0 $a eng
050 4 $a QA76.758
082 0 4 $a 005.1 $2 23
245 0 0 $a Artificial intelligence methods for software engineering $h [electronic resource] / $c editors, Meir Kalech, Rui Abreu, Mark Last.
260 $a Singapore : $b World Scientific, $c c2021.
300 $a 1 online resource (456 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a "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."-- $c Publisher's website.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat reader.
588 $a Description based on print version record.
650 0 $a Artificial intelligence $x Engineering applications. $3 1421312
650 0 $a Software engineering. $3 562952
700 1 $a Last, Mark. $3 568990
700 1 $a Abreu, Rui. $3 1421311
700 1 $a Kalech, Meir. $3 1421310
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/12360#t=toc