Entropy based bug prediction using support vector regression

Abstract

Predicting software defects is one of the key areas of research in software engineering. Researchers have devised and implemented a plethora of defect/bug prediction approaches namely code churn, past bugs, refactoring, number of authors, file size and age, etc by measuring the performance in terms of accuracy and complexity. Different mathematical models… (More)
DOI: 10.1109/ISDA.2012.6416630

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Cite this paper

@article{Singh2012EntropyBB, title={Entropy based bug prediction using support vector regression}, author={V. B. Singh and K. K. Chaturvedi}, journal={2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)}, year={2012}, pages={746-751} }