DocumentCode
3138482
Title
Suitability of Genetic Programming for Software Reliability Growth Modeling
Author
Afzal, Wasif ; Torkar, Richard
Author_Institution
Blekinge Inst. of Technol., Ronneby
fYear
2008
fDate
13-15 Oct. 2008
Firstpage
114
Lastpage
117
Abstract
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.
Keywords
genetic algorithms; software reliability; data points; genetic programming; software reliability growth modeling; Air traffic control; Application software; Automotive engineering; Computer industry; Computer science; Costs; Genetic programming; Mathematical model; Software debugging; Software reliability; Genetic programming; software reliability growth model; symbolic regression;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and its Applications, 2008. CSA '08. International Symposium on
Conference_Location
Hobart, ACT
Print_ISBN
978-0-7695-3428-2
Type
conf
DOI
10.1109/CSA.2008.13
Filename
4654071
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