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03990nam a2200589 4500 |
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978-3-540-36423-8 |
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DE-He213 |
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20191022031726.0 |
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cr nn 008mamaa |
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130829s2003 gw | s |||| 0|eng d |
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|a 9783540364238
|9 978-3-540-36423-8
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|a 10.1007/978-3-540-36423-8
|2 doi
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|d GrThAP
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|a QA267.7
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|a 620
|2 23
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|a Software Engineering with Computational Intelligence
|h [electronic resource] /
|c edited by Jonathan Lee.
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|a 1st ed. 2003.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2003.
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|a XI, 270 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 121
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|a to Software Engineering with Computational Intelligence -- Fuzzy Concepts and Formal Methods -- Trade-off Requirement Engineering -- A Generalized Object-Oriented Data Model Based on Level-2 Fuzzy Sets -- Modelling Imperfect Spatial Information in a Fuzzy Object Oriented Database -- Using Classical Object-Oriented Features to Build a Fuzzy O-O Database System -- Domain Analysis for the Engineering of Spatiotemporal Software -- Object-Oriented Framework of Fuzzy Knowledge Systems -- Fuzzy Evaluation of Domain Knowledge -- Application of Fuzzy Rule Extraction to Minimize the Costs of Misclassification on Software Quality Modeling -- Processing Software Engineering Data: Granular-based Approach.
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|a 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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| 650 |
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|a Computational complexity.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Software engineering.
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| 650 |
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|a Computer simulation.
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| 650 |
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|a Mathematics.
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| 650 |
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|a Visualization.
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1 |
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|a Complexity.
|0 http://scigraph.springernature.com/things/product-market-codes/T11022
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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| 650 |
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|a Software Engineering/Programming and Operating Systems.
|0 http://scigraph.springernature.com/things/product-market-codes/I14002
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| 650 |
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|a Software Engineering.
|0 http://scigraph.springernature.com/things/product-market-codes/I14029
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| 650 |
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|a Simulation and Modeling.
|0 http://scigraph.springernature.com/things/product-market-codes/I19000
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| 650 |
2 |
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|a Visualization.
|0 http://scigraph.springernature.com/things/product-market-codes/M14034
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| 700 |
1 |
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|a Lee, Jonathan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783642055959
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| 776 |
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|i Printed edition:
|z 9783540004721
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642535208
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| 830 |
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 121
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-540-36423-8
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 912 |
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|a ZDB-2-BAE
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| 950 |
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|a Engineering (Springer-11647)
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