International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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INVESTIGATION INTO THE USE OF DATA MINING FRAMEWORK FOR SOFTWARE DEFECTS PREDICTION

    2 Author(s):  CHESHTA GULATI ,NARENDRA PAL SINGH

Vol -  10, Issue- 6 ,         Page(s) : 50 - 58  (2019 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

A flaw in software is an error, failure, computer or systems malfunction generating or causing unintentional behavior in an inaccurate or unexpected consequence. Software Defect Prediction (SDP) locates the software for faulty modules. To generate high-quality software, the final product should have zero or minimum flaws. Early detection of software defects decreases development costs, reworks effort and enhances software quality. In this study, SDP assesses the efficiency of different classification systems, such as Naïve Bayes, SVM and K-Nearest Neighbor (KNN).

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