jstzwj / ChatTesterLinks
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
☆18Updated last year
Alternatives and similar repositories for ChatTester
Users that are interested in ChatTester are comparing it to the libraries listed below
Sorting:
- This repo illustrates how to evaluate the artifacts in the paper An Extensive Study on Pre-trained Models for Program Understanding and G…☆25Updated 2 years ago
- Source Code for Paper "Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning"☆16Updated last year
- ☆12Updated last year
- An Evolving Code Generation Benchmark Aligned with Real-world Code Repositories☆60Updated 9 months ago
- Enhacing Code Pre-trained Models by Contrastive Learning☆35Updated 2 years ago
- [2023 TDSC] Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?☆25Updated 2 years ago
- Source Code Data Augmentation for Deep Learning: A Survey.☆64Updated 11 months ago
- This is the tool released in ICSE 2024 paper "Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Er…☆16Updated 2 years ago
- [TOSEM 2023] A Survey of Learning-based Automated Program Repair☆71Updated last year
- ☆17Updated last week
- 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
- TeCo: an ML+Execution model for test completion☆31Updated 11 months ago
- FSE 2023 RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair☆11Updated 7 months ago
- Dataflow-guided retrieval augmentation for repository-level code completion, ACL 2024 (main)☆26Updated 2 months ago
- Source codes for paper ”ReACC: A Retrieval-Augmented Code Completion Framework“☆62Updated 3 years ago
- ☆15Updated 2 years ago
- ☆23Updated 8 months ago
- Developer-Intent Driven Code Comment Generation☆18Updated 2 years ago
- ☆17Updated 8 months ago
- For our ICSE23 paper "Impact of Code Language Models on Automated Program Repair" by Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan☆60Updated 7 months ago
- For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thiba…☆36Updated last year
- This is the official implement for the paper 'Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases''☆14Updated last year
- Official implementation of our ICSE 2023 paper on Automatic Code Generation.☆27Updated last year
- Repo-Level Code generation papers☆178Updated 2 months ago
- ☆18Updated last year
- Towards Robustness of Deep Program Processing Models – Detection, Estimation and Enhancement☆20Updated 2 years ago
- This repo is for our submission for ICSE 2025.☆20Updated 11 months ago
- For our ICSE23 paper "KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair" by Nan Jiang, Thibaud Lutellier, Yiling…☆31Updated last year
- ☆135Updated this week
- ☆47Updated 2 years ago