publication . Conference object . Article . Other literature type . 2012

A Systematic Literature review on fault prediction performance in software engineering

Hall, T.; Beecham, S.; Bowes, D.; Gray, D.; Counsell, S.;
Open Access English
  • Published: 01 Nov 2012
  • Publisher: IEEE Computer Society
  • Country: Ireland
Abstract
peer-reviewed Background: The accurate prediction of where faults are likely to occur in code can help direct test effort, reduce costs and improve the quality of software. Objective: We investigate how the context of models, the independent variables used and the modelling techniques applied, influence the performance of fault prediction models. Method:We used a systematic literature review to identify 208 fault prediction studies published from January 2000 to December 2010. We synthesise the quantitative and qualitative results of 36 studies which report sufficient contextual and methodological information according to the criteria we develop and apply. Resul...
Subjects
free text keywords: systematic literature review, software fault prediction, Naive Bayes classifier, Context model, Software fault tolerance, Data modeling, Software quality, Machine learning, computer.software_genre, computer, Variables, media_common.quotation_subject, media_common, Data mining, Predictive modelling, Regression analysis, Computer science, Artificial intelligence, business.industry, business
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publication . Conference object . Article . Other literature type . 2012

A Systematic Literature review on fault prediction performance in software engineering

Hall, T.; Beecham, S.; Bowes, D.; Gray, D.; Counsell, S.;