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_aQ342 _b.C667 2016 |
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_aComputational Intelligence and Quantitative Software Engineering _cedited by Witold Pedrycz, Giancarlo Succi, Alberto Sillitti |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
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| 300 |
_a1 recurso en línea (IX, 207 páginas) _b41 ilustraciones, 26 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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_aelectrónico _bc _2rdamedia |
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_arecurso electrónico _bcr _2rdacarrier |
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_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. | |
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_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115 |
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_aPedrycz, Witold _d1953- _eeditor literario _0Local _967495 |
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_aSucci, Giancarlo _eeditor literario _0Local _997883 |
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_aSillitti, Alberto. _eeditor literario _997884 _0Local |
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