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001 | 00012360 | ||
003 | WSP | ||
007 | cr |nu|||unuuu | ||
008 | 210717s2021 si o 001 0 eng d | ||
040 |
_aWSPC _beng _cWSPC |
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019 | _a1259046131 | ||
020 |
_a9789811239922 _q(ebook) |
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020 |
_a9811239924 _q(ebook) |
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020 |
_z9789811239915 _q(hbk.) |
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020 |
_z9811239916 _q(hbk.) |
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050 | 4 | _aQA76.758 | |
082 | 0 | 4 |
_a005.1 _223 |
072 | 7 |
_aCOM _x004000 _2bisacsh |
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072 | 7 |
_aCOM _x051230 _2bisacsh |
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049 | _aMAIN | ||
245 | 0 | 0 |
_aArtificial intelligence methods for software engineering _h[electronic resource]. |
260 |
_aSingapore : _bWorld Scientific Publishing Company, _c2021. |
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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. |
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538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat reader. | ||
650 | 0 |
_aSoftware engineering. _94138 |
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650 | 0 |
_aArtificial intelligence _x Engineering applications. _99193 |
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655 | 0 |
_aElectronic books. _93294 |
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700 | 1 |
_aKalech, Meir. _9178518 |
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700 | 1 |
_aAbreu, Rui. _9178519 |
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700 | 1 |
_aLast, Mark. _9178520 |
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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 |