YuanruiZJU / SZZ-TSE
This repository provides the supplementary materials for our paper - The Impact of Mislabeled Changes by SZZ on Just-in-Time Defect Prediction.
☆11Updated 4 years ago
Alternatives and similar repositories for SZZ-TSE:
Users that are interested in SZZ-TSE are comparing it to the libraries listed below
- Supplementary code and data of the paper Evaluating network embedding techniques' performances in software bug prediction☆10Updated 3 years ago
- PRIMISE dataset for sofware defect prediction☆45Updated 4 years ago
- ☆15Updated 6 years ago
- Github defect dataset for software defect prediction☆36Updated 3 years ago
- Cross-Project Software Defect Prediction via Statement Semantic Learning and Maximum Mean Discrepancy☆10Updated 3 years ago
- Artefacts for ESEM2016 paper☆22Updated 3 years ago
- ☆18Updated 5 years ago
- This repo illustrates how to evaluate the artifacts in the paper Deep Just-in-Time Defect Prediction: How Far Are We? published in ISSTA'…☆37Updated last year
- ☆49Updated 2 years ago
- A dataset used for ranking-oriented cross-project defect prediction☆11Updated 5 years ago
- ☆16Updated 2 years ago
- ☆50Updated 4 years ago
- ☆13Updated 2 years ago
- Experimental Deep Learning for Code Generation Processes☆13Updated 6 years ago
- Software defect prediction based on gated hierarchical LSTMs☆19Updated 2 years ago
- SMD: Software Metric tool for Defect prediction☆9Updated 6 years ago
- ☆21Updated 4 years ago
- An R package of Defect Prediction Datasets for Software Engineering Research☆34Updated 7 years ago
- Improving IR-Based Bug Localization with Context-Aware Query Reformulation☆21Updated 4 years ago
- refactoring-aware SZZ (RA-SZZ) Implementation☆13Updated 5 years ago
- Replication package of a paper "Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction"☆22Updated last year
- Replication Package for "Are Fix-Inducing Changes a Moving Target? A Longitudinal Case Study of Just-In-Time Defect Prediction"☆12Updated 6 years ago
- An implementation of the SZZ algorithm, i.e., an approach to identify bug-introducing commits.☆114Updated last year
- We propose a novel adversarial example generation technique (i.e., CODA) for testing deep code models. Its key idea is to use code differ…☆14Updated last year
- Spectrum-based Fault Localization Engine☆27Updated 7 months ago
- ☆27Updated 4 years ago
- dataset-CNN-WPDP_APPLSCI2019☆9Updated 5 years ago
- An Extensible Java Bug Benchmark for Automatic Program Repair Studies☆34Updated last year
- SLDeep: Statement-Level Software Defect Prediction Using Deep-Learning Models on Static Code Features☆12Updated 5 years ago