Maktaba
7 results
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Impact of LLM-based review comment generation in practice: A mixed open-/closed-source user study
Jan. 16, 2026Suhaib Mujahid, Marco Castelluccio, Doriane Olewicki, Benjamin Mah, Leuson Da Silva, Arezou Amini, Sarra Habchi, Bram Adams, Foutse KhomhGenerative AI / Open sourceThe study evaluates RevMate, an LLM-based code review assistant, through a large-scale live user study at Mozilla and Ubisoft, analyzing over 587 patch reviews.
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Works for me! cannot reproduce–a large scale empirical study of non-reproducible bugs
Mei 30, 2022Mohammad Masudur Rahman, Marco Castelluccio, Foutse KhomhPrivacy, security & tracking -
Why Are Some Bugs Non-Reproducible? An Empirical Investigation using Data Fusion
Mei 22, 2020Mohammad Masudur Rahman, Marco Castelluccio, Foutse Khomh -
An Empirical Study of DLL Injection Bugs in the Firefox Ecosystem
Dis. 1, 2019Le An, Marco Castelluccio, Foutse Khomh -
An Empirical Study of Patch Uplift in Rapid Release Development Pipelines
Dis. 1, 2019Le An, Marco Castelluccio, Foutse Khomh -
Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox
Dis. 1, 2018Le An, Shane McIntosh, Marco Castelluccio, Foutse Khomh -
Is it Safe to Uplift this Patch?: An Empirical Study on Mozilla Firefox
Sep. 26, 2017Le An, Marco Castelluccio, Foutse Khomh
