000 01767 a2200241 4500
003 OSt
005 20231010025131.0
008 210907b ||||| |||| 00| 0 eng d
020 _a9780367529741
040 _aUnimy
_beng
050 _aQA76.758
_bC63 2021
245 _aComputational intelligence techniques and their applications to software engineering problems
_cedited by Ankita Bansal, Abha Jain, Sarika Jain, Vishal Jain and Ankur Choudhary.
250 _aFirst edition.
260 _aBoca Raton :
_bCRC Press,
_c2021.
300 _axiii, 251 pages.
_billustration
_c24 cm.
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.
650 _aComputational intelligence.
700 _aBansal, Ankita,
_eeditor
942 _2lcc
_cBK
999 _c12411
_d12411