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Suitability of Genetic Programming for Software Reliability Growth Modeling
Responsible organisation
2008 (English)Conference paper, Published paper (Refereed) 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.

Place, publisher, year, edition, pages
IEEE , 2008.
Keyword [en]
Genetic programming, software reliability growth model, symbolic regression
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-8309DOI: 10.1109/CSA.2008.13ISI: 000264587200022Local ID: oai:bth.se:forskinfo7F3E1336ACE9A0F4C12575190048B525ISBN: 978-0-7695-3428-2 (print)OAI: oai:DiVA.org:bth-8309DiVA: diva2:836016
Conference
Computer Science and its Applications, 2008. CSA '08. International Symposium on
Available from: 2012-09-18 Created: 2008-12-08 Last updated: 2015-06-30Bibliographically approved

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Torkar, Richard
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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