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20232026
most citedWhat Makes a Good TODO Comment?

9 citations · 16 across the 21 of their papers we have counts for

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Showing 2025 · cs.SEShow all

5 papers · 2 filters

cs.SE2025

Diffploit: Facilitating Cross-Version Exploit Migration for Open Source Library Vulnerabilities

Zirui Chen, Zhipeng Xue, Jiayuan Zhou +3

Exploits are commonly used to demonstrate the presence of library vulnerabilities and validate their impact across different versions. However, their direct application to alternat…

cs.SE2025

CREME: Robustness Enhancement of Code LLMs via Layer-Aware Model Editing

Shuhan Liu, Xing Hu, Kerui Huang +3

Large language models (LLMs) have demonstrated impressive capabilities in code generation, where the natural language prompt plays a crucial role in conveying user intent to the mo…

cs.SE2025

Re-Evaluating Code LLM Benchmarks Under Semantic Mutation

Zhiyuan Pan, Xing Hu, Xin Xia +1

In the era of large language models (LLMs), code benchmarks have become an important research area in software engineering and are widely used by practitioners. These benchmarks ev…

cs.SE2025

Generating Mitigations for Downstream Projects to Neutralize Upstream Library Vulnerability

Zirui Chen, Xing Hu, Puhua Sun +2

Third-party libraries are essential in software development as they prevent the need for developers to recreate existing functionalities. However, vulnerabilities within these libr…

cs.SE2025★ 9 cited

What Makes a Good TODO Comment?

Haoye Wang, Zhipeng Gao, Tingting Bi +4

Software development is a collaborative process that involves various interactions among individuals and teams. TODO comments in source code play a critical role in managing and co…