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- W2614965337 abstract "In this paper we proposed unsupervised software fault prediction approach. Software fault prediction approach used to improve the reliability of software. The main contribution of this paper is the development of an automated way of assigning fault-propensity labels to the unit and eliminates the subjective expert opinion. The aim of proposed approach is to find out that whether metrics present in the early life cycle (i.e. requirement measures), measures available in the behind life cycle (i.e. code metrics) may be select to identify fault prone modules by using clustering techniques or classification Technique and identify which Technique gives better result." @default.
- W2614965337 created "2017-05-26" @default.
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- W2614965337 date "2017-01-01" @default.
- W2614965337 modified "2023-09-24" @default.
- W2614965337 title "Reliability of Software Fault Prediction using Data Mining and Fuzzy Logic" @default.
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