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Suitability of Genetic Programming for Software Reliability Growth Modeling
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2008 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
IEEE , 2008.
Emneord [en]
Genetic programming, software reliability growth model, symbolic regression
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-8309DOI: 10.1109/CSA.2008.13ISI: 000264587200022Lokal ID: oai:bth.se:forskinfo7F3E1336ACE9A0F4C12575190048B525ISBN: 978-0-7695-3428-2 (tryckt)OAI: oai:DiVA.org:bth-8309DiVA, id: diva2:836016
Konferanse
Computer Science and its Applications, 2008. CSA '08. International Symposium on
Tilgjengelig fra: 2012-09-18 Laget: 2008-12-08 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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