Výsledky vyhledávání - "Ding, Zhen‐Yu"

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Continuous fuzzing is an increasingly popular technique for automated quality and security assurance. Google maintains OSS-Fuzz: a continuous fuzzing service for open source software. We conduct the first empirical study of OSS-Fuzz, analyzing 23,907

Externí odkaz: http://arxiv.org/abs/2103.11518

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Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry

Autor: Ding, Zhen Yu, Khakshoor, Benjamin, Paglierani, Justin, Rajpal, Mantej

Leaked secrets, such as passwords and API keys, in codebases were responsible for numerous security breaches. Existing heuristic techniques, such as pattern matching, entropy analysis, and machine learning, exist to detect and alert developers of suc

Externí odkaz: http://arxiv.org/abs/2008.05997

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Patch Quality and Diversity of Invariant-Guided Search-Based Program Repair

Autor: Ding, Zhen Yu

Most automatic program repair techniques rely on test cases to specify correct program behavior. Due to test cases' frequently incomplete coverage of desired behavior, however, patches often overfit and fail to generalize to broader requirements. Mor

Externí odkaz: http://arxiv.org/abs/2003.11667

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The State and Future of Genetic Improvement

Autor: Langdon, William B., Weimer, Westley, Timperley, Christopher, Krauss, Oliver, Ding, Zhen Yu, Lyu, Yiwei, Chausseau, Nicolas, Schulte, Eric, Tan, Shin Hwei, Leach, Kevin, Huang, Yu, An, Gabin

Publikováno v: SIGSOFT Software Engineering Notes, 44(3) p25-29, July 2019

We report the discussion session at the sixth international Genetic Improvement workshop, GI-2019 @ ICSE, which was held as part of the 41st ACM/IEEE International Conference on Software Engineering on Tuesday 28th May 2019. Topics included GI repres

Externí odkaz: http://arxiv.org/abs/1907.03773

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