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008 210717s2021 si o 001 0 eng d
040 _aWSPC
_beng
_cWSPC
019 _a1259046131
020 _a9789811239922
_q(ebook)
020 _a9811239924
_q(ebook)
020 _z9789811239915
_q(hbk.)
020 _z9811239916
_q(hbk.)
050 4 _aQA76.758
082 0 4 _a005.1
_223
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aCOM
_x051230
_2bisacsh
049 _aMAIN
245 0 0 _aArtificial intelligence methods for software engineering
_h[electronic resource].
260 _aSingapore :
_bWorld Scientific Publishing Company,
_c2021.
300 _a1 online resource (456 p.).
504 _aIncludes bibliographical references and index.
505 0 _aPreface -- 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 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat reader.
650 0 _aSoftware engineering.
_94138
650 0 _aArtificial intelligence
_x Engineering applications.
_99193
655 0 _aElectronic books.
_93294
700 1 _aKalech, Meir.
_9178518
700 1 _aAbreu, Rui.
_9178519
700 1 _aLast, Mark.
_9178520
856 4 0 _uhttps://www.worldscientific.com/worldscibooks/10.1142/12360#t=toc
_zAccess to full text is restricted to subscribers.
942 _cEBK
999 _c97806
_d97806