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20242026
most citedPreprocessing is All You Need: Boosting the Performance of Log Parsers With a General Preprocessing Framework

1 citations · 1 across the 9 of their papers we have counts for

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cs.CR2026

DITTO: A Context-aware Pickle-based Pre-Trained Model Scanner for Effective Security Audits

Qiaolin Qin, Wanpeng Li, Benoit Baudry +3

Pre-trained models (PTMs) are widely distributed as serialized binaries, but their reuse often exposes software supply chains to deserialization attacks. Despite the emergence of s…

cs.SE2026

An Empirical Study on Logging Evolution On Stack Overflow: Trends, Topics, and Challenges

Patrick Loic Foalem, Andre Nguimbous, Foutse Khomh +2

Context: Logging is a crucial practice in software engineering, aiding developers in debugging applications when errors occur. While existing research has explored logging challeng…

cs.SE2026

Empirical Characterization of Logging Smells in Machine Learning Code

Patrick Loic Foalem, Leuson Da Silva, Foutse Khomh +2

Logging plays a central role in ensuring reproducibility, observability, and reliability in machine learning (ML) systems. While logging is generally considered a good engineering…

cs.SE2026

An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects

Patrick Loic Foalem, Foutse Khomh, Leuson Da Silva +1

\textbf{Context:} Policy-as-Code (PaC) has become a foundational approach for embedding governance, compliance, and security requirements directly into software systems. While orga…

cs.SE2026

Empirical Characterization of Logging Smells in Machine Learning Code

Patrick Loic Foalem, Leuson Da Silva, Foutse Khomh +2

\underline{Context:} Logging is a fundamental yet complex practice in software engineering, essential for monitoring, debugging, and auditing software systems. With the increasing…