ew 18(20): e18

Research Article

Statistical Testing on Prediction of Software Defects

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  • @ARTICLE{10.4108/eai.12-9-2018.155748,
        author={Satya Srinivas Maddipati and Malladi Srinivas},
        title={Statistical Testing on Prediction of Software Defects},
        journal={EAI Endorsed Transactions on Energy Web and Information Technologies},
        volume={5},
        number={20},
        publisher={EAI},
        journal_a={EW},
        year={2018},
        month={9},
        keywords={Statistical testing, Software defects, Wilcoxon Rank Sum Test},
        doi={10.4108/eai.12-9-2018.155748}
    }
    
  • Satya Srinivas Maddipati
    Malladi Srinivas
    Year: 2018
    Statistical Testing on Prediction of Software Defects
    EW
    EAI
    DOI: 10.4108/eai.12-9-2018.155748
Satya Srinivas Maddipati1,*, Malladi Srinivas2
  • 1: Research Scholar, KLEF, Vaddeswaram, Guntur
  • 2: Professor K LEF, Vaddeswaram, Guntur
*Contact email: maddipativas@gmail.com

Abstract

Statistical Tests are used to make inferences from data. These tests will tell whether the observed pattern is real or just due to chance. The type of the test, to be used, depends on research design, distribution of data and type of variables. In this paper, we are addressing high dimensionality problem in software defect prediction using statistical tests. We determined the distribution of data to choose appropriate statistical test. We observed most of the variables follow gamma distribution and hence applied wilcoxon Rank Sum Test for correlation between input variables and outcome variable. We extracted the variable with high correlation. We observed the performance of the classifier was improved by addressing high dimensionality problem with wilcoxon Rank Sum Test.