Thursday 25th of April 2024
 

Software Defect Prediction Models for Quality Improvement: A Literature Study


Mrinal Singh Rawat and Sanjay Kumar Dubey

In spite of meticulous planning, well documentation and proper process control during software development, occurrences of certain defects are inevitable. These software defects may lead to degradation of the quality which might be the underlying cause of failure. In todays cutting edge competition its necessary to make conscious efforts to control and minimize defects in software engineering. However, these efforts cost money, time and resources. This paper identifies causative factors which in turn suggest the remedies to improve software quality and productivity. The paper also showcases on how the various defect prediction models are implemented resulting in reduced magnitude of defects.

Keywords: Software Defects, Defect Prediction, Defect Prediction, Software Quality, Machine Learning Algorithms, Defect Density.

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ABOUT THE AUTHORS

Mrinal Singh Rawat
Ms. Mrinal Singh Rawat is Assistant Professor in the Department of Computer Science and Engineering in MGM‘s COET, Noida, UP, INDIA. Her Research activities are based on Software Engineering, Artificial Intelligence and Data Mining. She is pursuing her M.Tech in Computer Science and Engineering from Amity University.

Sanjay Kumar Dubey
Mr. Sanjay Kumar Dubey is working as Assistant Professor in Department of Computer Science and Engineering in Amity University Noida, UP, INDIA. His Research area includes Software Engineering and Usability Engineering. He is pursuing his Ph.D in Computer Science and Engineering from Amity University.


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