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On the ability of complexity metrics to predict fault-prone classes in object-oriented systems.

, , and . Journal of Systems and Software, 83 (4): 660-674 (2010)

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More comments on 'A cohesion measure for object-oriented classes' by Heung-Seok Chae, Yong-Rae Kwon and Doo-Hwan Bae., and . Softw., Pract. Exper., 33 (6): 583-588 (2003)ICBMC: An Improved Cohesion Measure for Classes., , , and . ICSM, page 44-53. IEEE Computer Society, (2002)Dynamic Slicing of Python Programs., , , , , and . COMPSAC, page 219-228. IEEE Computer Society, (2014)Identifying extract class refactoring opportunities for internetware., , , , and . SCIENCE CHINA Information Sciences, 57 (7): 1-18 (2014)An in-depth investigation into the relationships between structural metrics and unit testability in object-oriented systems., , , , , , and . SCIENCE CHINA Information Sciences, 55 (12): 2800-2815 (2012)Leveraging Method Call Anomalies to Improve the Effectiveness of Spectrum-Based Fault Localization Techniques for Object-Oriented Programs., , , , and . QSIC, page 1-8. IEEE, (2012)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)Measuring structural complexity for class diagrams: an information theory approach., and . SAC, page 1679-1683. ACM, (2005)Measuring Class Cohesion: A Causality Diagram Based Approach., and . SEKE, page 767-771. (2005)How do developers use C++ libraries? An empirical study., , , and . SEKE, page 260-265. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2015)