tianzhaotju/EMD

Replication Package for "Large Language Models for Equivalent Mutant Detection: How Far Are We?", ISSTA 2024

27
/ 100
Experimental

This project helps software developers understand how well large language models (LLMs) can identify equivalent mutants in Java code. It takes in pairs of Java code snippets and determines if they are functionally identical, even if their syntax differs. The primary users are software engineers, researchers, and quality assurance professionals interested in advanced testing techniques and the application of AI in software development.

No commits in the last 6 months.

Use this if you are a software engineer or researcher exploring the effectiveness of LLMs for detecting equivalent code mutations.

Not ideal if you are looking for a ready-to-use, production-grade tool for general-purpose mutant detection without an interest in LLM research.

software-testing mutation-testing code-analysis software-quality-assurance programming-language-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

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Stars

9

Forks

3

Language

Python

License

Last pushed

Nov 19, 2024

Commits (30d)

0

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