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Improving the Quality of Software by Quantifying the Code Change Metric and Predicting the Bugs.

, and . ICCSA (2), volume 7972 of Lecture Notes in Computer Science, page 408-426. Springer, (2013)

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Predicting the priority of a reported bug using machine learning techniques and cross project validation., , , and . ISDA, page 539-545. IEEE, (2012)An efficient algorithm for protein structure comparison using elastic shape analysis., , , , , , and . Algorithms for Molecular Biology, (2016)Predicting the complexity of code changes using entropy based measures., , , and . Int. J. Systems Assurance Engineering and Management, 5 (2): 155-164 (2014)Entropy based bug prediction using support vector regression., and . ISDA, page 746-751. IEEE, (2012)Bug prediction modeling using complexity of code changes., , , and . Int. J. Systems Assurance Engineering and Management, 6 (1): 44-60 (2015)Tools in Mining Software Repositories., , and . ICCSA (6), page 89-98. IEEE Computer Society, (2013)Improving the Quality of Software by Quantifying the Code Change Metric and Predicting the Bugs., and . ICCSA (2), volume 7972 of Lecture Notes in Computer Science, page 408-426. Springer, (2013)Bug prediction using entropy-based measures., and . IJKEDM, 2 (4): 266-291 (2013)An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects., and . IJOSSP, 4 (2): 32-59 (2012)An Empirical Validation of the Complexity of Code Changes and Bugs in Predicting the Release Time of Open Source Software., , , and . CSE, page 1201-1206. IEEE Computer Society, (2013)