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Identification of fault-prone or not fault-prone modules is very essential to improve the reliability and quality of a software system. Once modules are categorized as fault-prone or not fault-prone, test effort are allocated accordingly. Testing effort and efficiency are primary concern and can be optimized by prediction and ranking of fault-prone modules. This paper discusses a new model for prediction...
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