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An empirical investigation into the effect of slice types on slice-based cohesion metrics.

, , , , , and . Information & Software Technology, (2016)

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Source code size estimation approaches for object-oriented systems from UML class diagrams: A comparative study., , , , and . Information & Software Technology, 56 (2): 220-237 (2014)Hunting for bugs in code coverage tools via randomized differential testing., , , , , , and . ICSE, page 488-498. IEEE / ACM, (2019)The Influence of Developer Quality on Software Fault-Proneness Prediction., , , , , and . SERE, page 11-19. IEEE, (2014)Empirical analysis of network measures for effort-aware fault-proneness prediction., , , , and . Information & Software Technology, (2016)Is Learning-to-Rank Cost-Effective in Recommending Relevant Files for Bug Localization?, , , , , and . QRS, page 298-303. IEEE, (2015)How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction., , , , , , , and . ACM Trans. Softw. Eng. Methodol., 27 (1): 1:1-1:51 (2018)Effort-aware just-in-time defect prediction: simple unsupervised models could be better than supervised models., , , , , , , and . SIGSOFT FSE, page 157-168. ACM, (2016)Are Slice-Based Cohesion Metrics Actually Useful in Effort-Aware Post-Release Fault-Proneness Prediction? An Empirical Study., , , , , , , and . IEEE Trans. Software Eng., 41 (4): 331-357 (2015)An AST-Based Approach to Classifying Defects., , , , , and . QRS Companion, page 14-21. IEEE, (2015)An empirical investigation into the effect of slice types on slice-based cohesion metrics., , , , , and . Information & Software Technology, (2016)