PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
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Updated
Jan 22, 2023 - Python
PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
The defect data set of Solidity Smart Contracts
The implementation of Online Cross-Project JIT-SDP approaches proposed in the paper "Cross-Project Online Just-In-Time Software Defect Prediction" accepted in IEEE Transactions on Software Engineering (TSE), 2022, (accepted).
This repository contains the codes and temporary results used for the analyses for the paper: Liyan Song and Leandro Minku. "A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development", IEEE Transactions on Software Engineering, 2022
Weka implementation of the cost-sensitive decision forest algorithm CSForest.
The project is designed in a componentized manner, and random forests are used in model development.
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