ai4se

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

《AI 辅助软件工程：实践与案例解析》是一本如何使用 AI 辅助软件工程的开源电子书

Must-read papers on Repository-level Code Generation & Issue Resolution 🔥

RepairAgent is an autonomous LLM-based agent for software repair.

This repository provide the studies on the security of language models for code (CodeLMs).

Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation?

PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)

Explainable AI for Software Engineering: A Hands-on Guide on How to Make Software Analytics More Practical, Explainable, and Actionable (https://xai4se.github.io)

Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022

Datasets and models for TD detection in Java using comment and source code

FPLearner is a DL-based tool to predict performance and accuracy of mixed-precision programs that can be used in dynamic precision tuners to save time.

On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study

An Extendable Framework for Code Generation and AI4SE Research

GitHub repository for our work What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond

Journey to the WEST (trustWorthy intElligent Software developmenT)

基于LLM构建Rust演化知识图谱