Published November 10, 2026
| Version v1.0.0
Software
Open
Replication Package for "How Far Can LLMs Go in Generating Android Lint Checks from Natural Language?"
Authors/Creators
- 1. Louisiana State University
- 2. University of Kentucky
- 3. University of California, Riverside
Description
Artifact for the paper "How Far Can LLMs Go in Generating Android Lint Checks from Natural Language?". LintBench is a 148-instance benchmark (113-instance human-verified subset) for evaluating LLMs on generating Android Lint detectors from natural-language issue specifications, with a Dockerised Lint test harness. It uses a retrieval-augmented, generation and repair pipeline evaluated on the same instances.
Notes
Files
Fakorede/lintbench-v1.0.0.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/Fakorede/lintbench/tree/v1.0.0 (URL)
Software
- Repository URL
- https://github.com/Fakorede/lintbench