000 | 01767 a2200241 4500 | ||
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003 | OSt | ||
005 | 20231010025131.0 | ||
008 | 210907b ||||| |||| 00| 0 eng d | ||
020 | _a9780367529741 | ||
040 |
_aUnimy _beng |
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050 |
_aQA76.758 _bC63 2021 |
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245 |
_aComputational intelligence techniques and their applications to software engineering problems _cedited by Ankita Bansal, Abha Jain, Sarika Jain, Vishal Jain and Ankur Choudhary. |
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250 | _aFirst edition. | ||
260 |
_aBoca Raton : _bCRC Press, _c2021. |
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300 |
_axiii, 251 pages. _billustration _c24 cm. |
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504 | _aIncludes bibliographical references and index. | ||
505 | _aImplementation of artifical intelligence techniques for improving software engineering / Sushma Malik, Monika Arora, Anamilka Rana and Mamta Bansal -- Software effort estimation : machine learning vs. hybrid algorithms / Wasiur Rhmann. | ||
520 | _a"This book focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and so forth. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, rough sets are introduced with their application in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by discovering the underlying and hidden patterns in software data sets" | ||
650 |
_aSoftware engineering _xData processing. |
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650 | _aComputational intelligence. | ||
700 |
_aBansal, Ankita, _eeditor |
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942 |
_2lcc _cBK |
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999 |
_c12411 _d12411 |