000			03135cam a22004098i 4500
001			21049
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005			20241208140143.0
008			220713s2023 flu ob 001 0 eng
020			_a9781003283195 _q(ebk)
020			_z9781774910467 _q(hbk)
020			_z9781774910474 _q(pbk)
040			_aDLC _beng _cDLC _erda _dIQ-KaLSS _dIQ-MoCLU
082	0	0	_a005.1 _223 _bC738
100			_q
245	0	0	_aComputational intelligence applications for software engineering problems / _cedited by Parma Nand, PhD, Rakesh Nitin, PhD, Arun Prakash Agrawal, PhD, Vishal Jain, PhD.
250			_aFirst edition.
263			_a2209
264		1	_aPalm Bay, FL : _bApple Academic Press, Inc. ; _aBoca Raton, FL : _bCRC Press, _c2023.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
505	2		_aA statistical experimentation approach for software quality management and defect evaluations / Alankrita Aggarwal, Kanwalvir Singh Dhindsa, and P. K. Suri -- Open challenges in software measurements using machine learning techniques / Somya Goyal -- Empirical software engineering and its challenges / Sujit Kumar, Spandana Gowda, and Vikramaditya Dave.
520			_a"This new volume explores the computational intelligence techniques necessary to carry out different software engineering tasks. Software undergoes various stages before deployment, such as requirements elicitation, software designing, software project planning, software coding, and software testing and maintenance. Every stage is bundled with a number of tasks or activities to be performed. Due to the large and complex nature of software, these tasks become more costly and error prone. This volume aims to help meet these challenges by presenting new research and practical applications in intelligent techniques in the field of software engineering. Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the DevOps model, time series forecasting models, and more. This volume will be helpful to software engineers, researchers, and faculty and advanced students working on intelligent techniques in the field of software engineering"--
650		0	_aSoftware engineering _xData processing.
650		0	_aArtificial intelligence.
700	1		_aNand, Parma _c(Computer scientist), _eeditor.
700	1		_aNitin, Rakesh, _eeditor.
700	1		_aAgrawal, Arun Prakash, _eeditor.
700	1		_aJain, Vishal, _d1983- _eeditor.
776	0	8	_iPrint version: _tComputational intelligence applications for software engineering problems _bFirst edition. _dPalm Bay, FL : Apple Academic Press, Inc. ; Boca Raton, FL : CRC Press, 2023 _z9781774910467 _w(DLC) 2022026648
910			_aSAJA
942			_2ddc _cBK
999			_c21049 _d21049