Title :
Suitability of Genetic Programming for Software Reliability Growth Modeling
Author :
Afzal, Wasif ; Torkar, Richard
Author_Institution :
Blekinge Inst. of Technol., Ronneby
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;
Conference_Titel :
Computer Science and its Applications, 2008. CSA '08. International Symposium on
Conference_Location :
Hobart, ACT
Print_ISBN :
978-0-7695-3428-2
DOI :
10.1109/CSA.2008.13
