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Roy, Devjeet; Fakhoury, Sarah; Lee, John; Arnaoudova, Venera

A model to detect incremental readability improvements in incremental changes (Inproceeding)

Proceedings of the International Conference on Program Comprehension (ICPC), pp. 25–36, 2020.

(Links | BibTeX | Tags: developers' perception, empirical study, machine learning, source code readability)


Ma, Yuzhan; Fakhoury, Sarah; Christensen, Mike; Arnaoudova, Venera; Zogaan, Waleed; Mirakhorli, Mehdi

Automatic Classification of Software Artifacts in Open-Source Applications (Inproceeding)

Proceedings of the Working Conference on Mining Software Repositories (MSR), pp. 414–425, 2018.

(Links | BibTeX | Tags: machine learning, open-source software, software artifacts)

Fakhoury, Sarah; Arnaoudova, Venera; Noiseux, Cedric; Khomh, Foutse; Antoniol, Giuliano

Keep it simple: is deep learning good for linguistic smell detection? (Inproceeding)

Proceedings of the International Conference on Software Analysis, Evolution, and Reengineering (SANER)—REproducibility Studies and NEgative Results (RENE) Track, 2018.

(Links | BibTeX | Tags: deep learning, empirical study, linguistic antipatterns, machine learning, source code identifiers, source code readability)


Abebe, Surafel Lemma; Arnaoudova, Venera; Tonella, Paolo; Antoniol, Giuliano; Guéhéneuc, Yann-Gaël

Can Lexicon Bad Smells improve fault prediction? (Inproceeding)

Proceedings of the Working Conference on Reverse Engineering (WCRE), pp. 235–244, 2012.

(Abstract | BibTeX | Tags: fault prediction, lexicon bad smells, machine learning, source code identifiers)