engleski

Software Metrics as Identifiers of Defect Occurrence Severity

Successful prediction of defects at an early stage is one of the main goals of software quality assurance. Having an indicator of the severity of defect occurrence may bring further benefit to allocation of testing resources. This paper is a part of a project aimed at identifying the role of different software metrics in order to improve the software quality assurance activities. In a preliminary case study we analyzed the relationship between the software metrics and defects using fundamentally different approaches for feature selection. Our case study showed that some metrics do not indicate defect occurrence, several of them exhibit moderate level of correlation, and the choice of the appropriate metrics is biased by the choice of feature selection technique. The next step would be to integrate the finding from different approaches and various datasets to develop a hybrid method for a precise definition of software metrics and their threshold levels that are good indicators of defect occurrence.

software metrics ; software defects ; feature selection

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