3 papers
cs.SE2025
Large Language Models for Unit Test Generation: Achievements, Challenges, and Opportunities
Bei Chu, Yang Feng, Kui Liu +5
Automated unit test generation is critical for software quality but traditional structure-driven methods often lack the semantic understanding required to produce realistic inputs…
cs.SE2025
Prometheus: Towards Long-Horizon Codebase Navigation for Repository-Level Problem Solving
Yue Pan, Zimin Chen, Siyu Lu +8
Large Language Models (LLMs) have shown remarkable capabilities in automating software engineering tasks, spurring the emergence of coding agents that scaffold LLMs with external t…
cs.SE2025
PALM: Synergizing Program Analysis and LLMs to Enhance Rust Unit Test Coverage
Bei Chu, Yang Feng, Kui Liu +4
Unit testing is essential for ensuring software reliability and correctness. Classic Search-Based Software Testing (SBST) methods and concolic execution-based approaches for genera…