2 papers
cs.SE2026
Understanding by Reconstruction: Reversing the Software Development Process for LLM Pretraining
Zhiyuan Zeng, Yichi Zhang, Yong Shan +11
While Large Language Models (LLMs) have achieved remarkable success in code generation, they often struggle with the deep, long-horizon reasoning required for complex software engi…
cs.SE2025
Large Language Models for Unit Test Generation: Achievements, Challenges, and Opportunities
Bei Chu, Yang Feng, Kui Liu +5
Unit tests help detect faults and prevent regressions, but writing them manually is costly. Automated unit test generation involves constructing inputs that exercise the code and o…