There are 6 repositories under defect-prediction topic.
An implementation of the SZZ algorithm, i.e., an approach to identify bug-introducing commits.
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
we proposed a software defect predictive development models using machine learning techniques that can enable the software to continue its projected task.
Defect prediction of java projects using neural networks.
ICSE'18: Tuning Smote
Software measure datasets of software network structure for defect prediction
Appendix of paper "Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics" accepted at Transactions on Software Engineering.
极快速微分催化排序,世界最快的排序算法,The Top Sort 20200317
Mahakil Code
A ML model that predicts the number of bugs that might occur while reaching the QA Stage.
An offline crystal library, which includes about tens of thousand structure calculated by VASP.
Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares
a project about software prediction
Predict the probability of various defects on steel plates.
An implementation of the SZZ algorithm, i.e., an approach to identify bug-introducing commits.
Weldright -Techfest repository
Detection of welding defects with AI (YOLO11)
Code of Master's thesis Machine Learning for Interactive Performance Prediction
Replication package for Software Defect Prediction Using Rich Contextualized Language Use Vectors
GitHub network mining tool to predict defects in projects.
DEPTs: Parameter tuning for software fault prediction with different variants of differential evolution *** Parameter tuners for software analytics problems ***
A fuzzy TOPSIS implementation and its usage for selecting a software defect prediction method
Defect prediction in Softwares. The Metrics Data Program dataset provided by NASA has been used.
The RADON defect predictor for IaC based on the Scikit-learn Python framework