Object oriented metrics for the Prediction of fault prone classes Using software quality models

Abstract

Several researchers have proposed various metrics for Object newlineOriented systems The metrics have shown significant correlation to quality newlinefactors like reliability maintainability and fault proneness However a need newlinefor constant improvement in quality prediction using object oriented metrics newlineexists This has been a motivation to explore object oriented metrics and newlineprediction models across many object oriented systems and languages newlineDue to the sheer number of metrics available it becomes a difficult newlinetask to select relevant metrics for specific requirements There is a need for newlinecompilation of metrics that are suitable across programming languages An newlineevaluation model has been proposed to analyze existing object oriented newlinemetrics and group them based on their suitability for object oriented newlinelanguages C Java and C newlineExisting metric computation tools have certain limitations They are newlineavailable to specific OO language and support a smaller set of the Object newlineOriented metrics In the present form, they are not extensible to new Object newlineOriented languages and metrics newline newline