Dataset And Source Code For Icsme2017 Paper "Supervised Vs Unsupervised Models: A Holistic Look At Effort-Aware Just-In-Time Defect Prediction"
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Dataset and source code for ICSME2017 paper “Supervised vs Unsupervised Models: A Holistic Look at Effort-Aware Just-in-Time Defect Prediction” There are four different models in the paper (i.e., EALR, LT, CBS and OneWay). Each model was implemented in a single Java file in the model package. To reproduce the experiment results of each model in the paper, just run the main method in the corresponding Java file.
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Zenodo创建时间：
2017-07-30
