Software Defect Prediction Mechanisms For Quality Enhancement
Amutha A1, V ArulKumar2 , Francis Densil Raj V3 ,

1Amutha A, School of Computer Science and Applications, REVA University, Bangalore, India.
2Dr V ArulKumar , School of Computer Science and Applications, REVA University, Bangalore, India.
3Francis Densil Raj V , School of Computer Science and Applications, REVA University, Bangalore, India.

Manuscript received on 05 August 2019. | Revised Manuscript received on 12 August 2019. | Manuscript published on 30 September 2019. | PP: 5921-5925 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4741098319/19©BEIESP | DOI: 10.35940/ijrte.C4741.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: TSoftware engineering is an imperative field that helps to provide a variety of software to the different industrial domains. In this regard, providing quality software is a challenging task. Now a lot of advancements are occurring in this field to enhance the software quality. But still software failures will occur at the development stage. To overcome these difficulties, various failure detection mechanisms were adopted. Among them, software defect prediction is one such mechanism to provide quality software. The efficacious of testing the software and guiding the distribution of resources can effectively enhanced by Software defect prediction (SDP). This research article will provide a complete knowledge about the defect prediction mechanism in the software domain. And also profound analyses were done with the existing literature to know how this mechanism will ameliorate the quality of the software product.
Index Terms: Software Defects, Defect Prediction, Software Quality, Machine Learning Algorithm.

Scope of the Article:
Machine Learning