A Survey of Different Software Fault Prediction Using Data Mining Techniques Methods 

Abstract

Software fault prediction method used to improve the quality of software. Defective module leads to decrease the customer satisfaction and improve cost. Software fault prediction technique implies a good investment in better design in future systems to avoid building an error prone modules. Faulty modules are predicted using data mining techniques. Various classifiers are used to classify faulty or non-faulty modules. The goal of software fault prediction is to help the software manager to increase the software system quality. There are many software fault prediction techniques are available. This paper presents the survey on software fault prediction models.  

Authors and Affiliations

Karpagavadivu. K, , Maragatham. T, , Dr. Karthik. S,

Keywords

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  • EP ID EP109717
  • DOI -
  • Views 81
  • Downloads 0

How To Cite

Karpagavadivu. K, , Maragatham. T, , Dr. Karthik. S, (2012). A Survey of Different Software Fault Prediction Using Data Mining Techniques Methods . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 1(8), 164-166. https://europub.co.uk/articles/-A-109717