Proposed approach to predict software faults detection using Entropy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
http://link.springer.com/content/pdf/10.1007/s13198-019-00934-2.pdf
Reference21 articles.
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2. Catal C, Diri B (2009) Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem. Inf Sci 179(8):1040–1058
3. Challagulla VUB, Bastani FB, Yen IL, Paul RA (2008) Empirical assessment of machine learning based software defect prediction techniques. Int J Artif Intell Tools 17(02):389–400
4. Chandrashekar G, Sahin F (2014) A survey on feature selection methods. Comput Electr Eng 40(1):16–28
5. Elish KO, Elish MO (2008) Predicting defect-prone software modules using support vector machines. J Syst Softw 81(5):649–660
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