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Software Engineering with Computational Intelligence (Studies in Fuzziness and Soft Computing)
 
 
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Software Engineering with Computational Intelligence (Studies in Fuzziness and Soft Computing) (Hardcover)

~ Jonathan Lee (Editor) "There are two distinct features that characterize software engineering: (1) it is an application of engineering to software, that is, the application of a systematic,..." (more)
Key Phrases: imperfect spatial information, reference set elements, generalized object type, New York, International Conference, International Journal of Intelligent Systems (more...)
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Product Description

This edited book invites the reader to explore how the latest technologies developed in computational intelligence can be extended and applied to software engineering. Leading experts demonstrate how this recent confluence of software engineering and computational intelligence provides a powerful tool to address the increasing demand for complex applications in diversified areas, the ever-increasing complexity and size of software systems, and the inherently imperfect nature of the information. The presented treatments to software modeling and formal analysis permit the extension of computational intelligence to various phases in software life cycles, such as managing fuzziness resident in the requirements, coping with fuzzy objects and imprecise knowledge, and handling uncertainty encountered in quality prediction.

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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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First Sentence:
There are two distinct features that characterize software engineering: (1) it is an application of engineering to software, that is, the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software; and (2) it is a transformation process, that is, the transformation that models the real world into its corresponding software world. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
imperfect spatial information, reference set elements, generalized object type, copula isr, fuzziness handler, generalized type system, fuzzy logic toolkit, solution domain knowledge, cooperating degree, finite fuzzy set, fuzzy subspace, abstraction quality, soft requirements, conflicting degree, nonparametric discriminant analysis, fuzzy databases, cooperative degrees, imprecise requirements, information granules, abstraction qualities, operational schema, software engineering data, nearest neighbor cases, fuzzy types, solution abstractions
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, International Conference, International Journal of Intelligent Systems, Kluwer Academic, Information Sciences, Indeterminate Object Class, Prentice Hall, Addison Wesley, Total Actual, Computer Society, Fuzzy Inference Engine, Percent Model Class, Boca Raton, Florida Atlantic University, Fuzzy Object Class, Geographic Objects, Integer Boolean, New Jersey, Recent Issues, University of Twente, Addison-Wesley Publishing Company, Application of Fuzzy Rule Extraction, Carnegie Mellon University, Church Street, Deakin University
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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