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20192026
most citedUnderstanding Performance Problems in Deep Learning Systems

33 citations · 127 across the 30 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SE2023★ 5 cited

Detecting and Fixing Violations of Modification Terms in Open Source Licenses during Forking

Kaifeng Huang, Yingfeng Xia, Bihuan Chen +3

Open source software brings benefit to software community, but also introduces legal risks caused by license violations, which result in serious consequences such as lawsuits and f…

cs.SE2023★ 9 cited

Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study

Qi Guo, Junming Cao, Xiaofei Xie +4

Code review is an essential activity for ensuring the quality and maintainability of software projects. However, it is a time-consuming and often error-prone task that can signific…

cs.CR2023★ 25 cited

Killing Two Birds with One Stone: Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence

Junan Zhang, Kaifeng Huang, Yiheng Huang +4

Open-source software (OSS) supply chain enlarges the attack surface, which makes package registries attractive targets for attacks. Recently, package registries NPM and PyPI have b…

cs.SE2023★ 2 cited

Scalable and Precise Application-Centered Call Graph Construction for Python

Kaifeng Huang, Yixuan Yan, Bihuan Chen +2

Call graph construction is the foundation of inter-procedural static analysis. PYCG is the state-of-the-art approach for constructing call graphs for Python programs. Unfortunately…

cs.SE2023★ 1 cited

Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems

Junming Cao, Bihuan Chen, Longjie Hu +3

Machine learning (ML) enabled systems are emerging with recent breakthroughs in ML. A model-centric view is widely taken by the literature to focus only on the analysis of ML model…