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Suitability of genetic programming for software reliability growth modelling
Blekinge Institute of Technology, Sweden. (IS (Embedded Systems))ORCID iD: 0000-0003-0611-2655
Blekinge Institute of Technology, Sweden.
2008 (English)In: Proceedings - International Symposium on Computer Science and Its Applications, CSA 2008, 2008, p. 114-117Conference paper, Published paper (Refereed)
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
2008. p. 114-117
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-22273DOI: 10.1109/CSA.2008.13Scopus ID: 2-s2.0-56649120795ISBN: 9780769534282 (print)OAI: oai:DiVA.org:mdh-22273DiVA, id: diva2:661362
Conference
2008 International Symposium on Computer Science and its Applications, CSA 2008; Hobart, TAS; Australia; 13 October 2008 through 15 October 2008
Projects
Project_ExternalAvailable from: 2013-11-03 Created: 2013-10-31 Last updated: 2015-09-14Bibliographically approved

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Afzal, Wasif

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CiteExportLink to record
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Citation style
  • apa
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Output format
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