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

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

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

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

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

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

Journey to the WEST (trustWorthy intElligent Software developmenT)

基于LLM构建Rust知识图谱

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