48 citations · 300 across the 24 of their papers we have counts for
Showing 2017 · cs.SEShow all
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cs.SE2017★ 3 cited
A Comparative Study of Different Source Code Metrics and Machine Learning Algorithms for Predicting Change Proneness of Object Oriented Systems
Lov Kumar, Ashish Sureka
Change-prone classes or modules are defined as software components in the source code which are likely to change in the future. Change-proneness prediction is useful to the mainten…
cs.SE2017★ 2 cited
Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction
Lov Kumar, Santanu Rath, Ashish Sureka
Software fault prediction model are employed to optimize testing resource allocation by identifying fault-prone classes before testing phases. Several researchers' have validated t…