An implementation of the SZZ algorithm, i.e., an approach to identify bug-introducing commits.

Defect prediction of java projects using neural networks.

Cross-project defection prediction tooling

ICSE'18: Tuning Smote

极快速微分催化排序，世界最快的排序算法，The Top Sort 20200317

A ML model that predicts the number of bugs that might occur while reaching the QA Stage.

Software measure datasets of software network structure for defect prediction

Mahakil Code

An offline crystal library, which includes about tens of thousand structure calculated by VASP.

BUGZY - Automated machine learning model to predict if a git commit is a bug fix. Based on topic modeling and natural language processing, it is built with SVM and Latent Dirichlet Allocation (LDA).

Buggyrank is a tool that perform bug prediction by analyzing git repositories.

Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares

An implementation of the SZZ algorithm, i.e., an approach to identify bug-introducing commits.

Epsilon domination

GitHub network mining tool to predict defects in projects.

Replication package for Software Defect Prediction Using Rich Contextualized Language Use Vectors