microsoft/repoclassbench

[ICML DMLR 2024] Repo that contains code for the paper titled: "Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository".

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Emerging

This project helps software developers evaluate how well large language models (LLMs) can generate complex, class-level code within existing software projects. It takes a natural language description of a desired class and an existing codebase, then assesses the LLM's ability to generate functional code that integrates correctly with the repository's dependencies. The target users are software engineers and researchers working on advanced code generation tools and benchmarks.

No commits in the last 6 months.

Use this if you are developing or evaluating AI models for generating software code and need a robust way to measure their performance on realistic, class-level coding tasks within a larger repository.

Not ideal if you are looking for a tool to generate code directly for your software projects, as this is a benchmark for evaluating code generation models, not an end-user code generation application.

AI-powered code generation software engineering research LLM evaluation code quality benchmarking programming language models
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

17

Forks

4

Language

Python

License

MIT

Last pushed

Apr 29, 2025

Commits (30d)

0

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