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
Automated unit test generation is critical for software quality but traditional structure-driven methods often lack the semantic understanding required to produce realistic inputs…