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020 _a9783319259642
040 _aES-MaUEC
050 4 _aQ342
_b.C667 2016
082 0 4 _a006.3
245 1 0 _aComputational Intelligence and Quantitative Software Engineering
_cedited by Witold Pedrycz, Giancarlo Succi, Alberto Sillitti
250 _a1st ed.
260 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (IX, 207 páginas)
_b41 ilustraciones, 26 ilustraciones en color
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v617
520 3 _aIn a down-to-the earth manner, the volume lucidly presents how the fundamental concepts, methodology, and algorithms of Computational Intelligence are efficiently exploited in Software Engineering and opens up a novel and promising avenue of a comprehensive analysis and advanced design of software artifacts. It shows how the paradigm and the best practices of Computational Intelligence can be creatively explored to carry out comprehensive software requirement analysis, support design, testing, and maintenance. Software Engineering is an intensive knowledge-based endeavor of inherent human-centric nature, which profoundly relies on acquiring semiformal knowledge and then processing it to produce a running system. The knowledge spans a wide variety of artifacts, from requirements, captured in the interaction with customers, to design practices, testing, and code management strategies, which rely on the knowledge of the running system. This volume consists of contributions written by widely acknowledged experts in the field who reveal how the Software Engineering benefits from the key foundations and synergistically existing technologies of Computational Intelligence being focused on knowledge representation, learning mechanisms, and population-based global optimization strategies. This book can serve as a highly useful reference material for researchers, software engineers and graduate students and senior undergraduate students in Software Engineering and its sub-disciplines, Internet engineering, Computational Intelligence, management, operations research, and knowledge-based systems.
710 2 _aSpringerLink (Online service)
_0Local
_9106996
942 _2lcc
_cLE
988 _aEBOOK, asignarmaterias , EBSPRINGER
650 0 7 _aIngeniería del software
_0
_2embne
_9152630
650 7 _aInteligencia artificial
_0comprobar BNE19900997218
_2embne
_9413115
700 1 _aPedrycz, Witold
_d1953-
_eeditor literario
_0Local
_967495
700 1 _aSucci, Giancarlo
_eeditor literario
_0Local
_997883
700 1 _aSillitti, Alberto.
_eeditor literario
_997884
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-25964-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319259642
907 _a.b12944294
_b10-10-17
_c21-11-16
998 _am
_a_alco
_a_vill
_b - -
_cm
_dz
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945 _aQ342 .C667 2016 EB
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