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Suitability of Gene...
Suitability of Genetic Programming for Software Reliability Growth Modeling
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- Afzal, Wasif (författare)
- Blekinge Institute of Technology, Sweden,IS (Embedded Systems)
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- Torkar, Richard (författare)
- Blekinge Institute of Technology, Sweden
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(creator_code:org_t)
- ISBN 9780769534282
- IEEE, 2008
- 2008
- Engelska.
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Ingår i: Proceedings - International Symposium on Computer Science and Its Applications, CSA 2008. - : IEEE. - 9780769534282 ; , s. 114-117
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Genetic programming (GP) has been found to be effective in finding a model that fits the given data points without making any assumptions about the model structure. This makes GP a reasonable choice for software reliability growth modeling. This paper discusses the suitability of using GP for software reliability growth modeling and highlights the mechanisms that enable GP to progressively search for fitter solutions.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Nyckelord
- Genetic programming
- software reliability growth model
- symbolic regression
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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