3 papers
cs.SE2026
Taming the Drift: Context-aware Repair of Dockerfile Drift during Software Evolution
Chengjie Wang, Jingzheng Wu, Xiang Ling +2
The paper introduces Cadre, a framework that uses a context-aware dependency graph to automatically repair Dockerfile drift by selecting relevant code context and generating target…
cs.SE2026
Correct Code, Vulnerable Dependencies: A Large Scale Measurement Study of LLM-Specified Library Versions
Chengjie Wang, Jingzheng Wu, Xiang Ling +2
Large language models (LLMs) are now largely involved in software development workflows, and the code they generate routinely includes third-party library (TPL) imports annotated w…
cs.SE2026
A Large Scale Empirical Analysis on the Adherence Gap between Standards and Tools in SBOM
Chengjie Wang, Jingzheng Wu, Hao Lyu +4
A Software Bill of Materials (SBOM) is a machine-readable artifact that systematically organizes software information, enhancing supply chain transparency and security. To facilita…