Soft Computing in Software Engineering

This book illustrates the impact of soft computing techniques on software engineering research and practices dealing with a range of novel methods reshaping the software development process. Specifically, it is shown how Software Engineering tasks such as reuse-oriented classification (e.g. componen...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Damiani, Ernesto (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Madravio, Mauro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
Έκδοση:1st ed. 2004.
Σειρά:Studies in Fuzziness and Soft Computing, 159
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 159 
505 0 |a 1 Fuzzy Selection of Software Components and of Web services -- 2 A Training Approach to Develop Reusable Software Components by Combining Adaptation Algorithms -- 3 Fuzzy Case-Based Reasoning Models for Software Cost Estimation -- 4 Automating Software Development Process Using Fuzzy Logic -- 5 Many Maybes Mean (Mostly) the Same Thing -- 6 Soft Computing Based Effort Prediction Systems - A Survey -- 7 High-Level Design of Composite Systems -- 8 RHSP: an Information Representation Model Based on Relationship -- 9 Neurofuzzy Analysis of Software Quality Data -- 10 Linguistic Resources and Fuzzy Algebra in Adaptive Hypermedia Systems. 
520 |a This book illustrates the impact of soft computing techniques on software engineering research and practices dealing with a range of novel methods reshaping the software development process. Specifically, it is shown how Software Engineering tasks such as reuse-oriented classification (e.g. components' repositories), software diagnostic (e.g. bug detection and correction), effort prediction (e.g. project costs and time estimation), planning (e.g. project scheduling) and others can be appropriately handled by means of soft computing techniques. The book is a valuable reference for practitioners as well as an updated resource of ongoing interdisciplinary research in Soft Computing in Software Engineering. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Software engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
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