Study of Predicting Fault Prone Software Modules

Most of the current project management software's are utilizing resources on developing areas in software projects. This is considerably essential in view of the meaningful impact towards time and cost- effective development. One of the major areas is the fault proneness prediction, which is used to find out the impact areas by using several approaches, techniques and applications. Software fault proneness application is an application based on computer aided approach to predict the probability that the software contains faults. The majority of software faults are present in small number of modules, therefore accurate prediction of fault-prone modules helps to improve software quality by focusing testing efforts on a subset of modules. This paper will discuss the detail design of software fault proneness application using the object oriented approach. Prediction of fault-prone modules provides one way to support software quality engineering through improved scheduling and project control. The primary goal of our research is to develop and refine techniques for early prediction of fault-prone modules.

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