iSEngLab / AwesomeLearningAPRLinks
[TOSEM 2023] A Survey of Learning-based Automated Program Repair
☆71Updated last year
Alternatives and similar repositories for AwesomeLearningAPR
Users that are interested in AwesomeLearningAPR are comparing it to the libraries listed below
Sorting:
- [2023 TDSC] Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?☆25Updated 2 years ago
- For our ICSE23 paper "Impact of Code Language Models on Automated Program Repair" by Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan☆62Updated last year
- For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin …☆55Updated 2 years ago
- ☆39Updated 2 years ago
- ☆60Updated 2 years ago
- [2023 ASE] GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction☆22Updated 2 years ago
- VulRepair: A T5-Based Automated Software Vulnerability Repair☆81Updated 5 months ago
- ☆34Updated last year
- ☆36Updated last year
- Large Language Models for Software Engineering☆248Updated 3 months ago
- A Systematic Literature Review on Large Language Models for Automated Program Repair☆208Updated last week
- [ISSTA 2025] A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing☆13Updated 8 months ago
- [TSE 2024] APPT: Boosting Automated Patch Correctness Prediction via Fine-tuning Pre-trained Models☆15Updated last year
- ✅SRepair: Powerful LLM-based Program Repairer with $0.029/Fixed Bug☆70Updated last year
- For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thiba…☆39Updated last year
- Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022☆48Updated last year
- A multi-lingual program repair benchmark set based on the Quixey Challenge☆129Updated 3 years ago
- Towards Robustness of Deep Program Processing Models – Detection, Estimation and Enhancement☆21Updated 2 years ago
- Source Code for Paper "Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning"☆18Updated 2 years ago
- For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier…☆62Updated 2 years ago
- SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning☆16Updated 3 years ago
- ☆15Updated 3 years ago
- A Reproducible Benchmark of Recent Java Bugs☆42Updated 2 months ago
- ☆15Updated 11 months ago
- Repository for PrimeVul Vulnerability Detection Dataset☆188Updated last year
- ☆20Updated last year
- ☆25Updated 3 years ago
- We propose a novel adversarial example generation technique (i.e., CODA) for testing deep code models. Its key idea is to use code differ…☆16Updated 2 years ago
- ☆30Updated 4 years ago
- ☆32Updated 3 years ago