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Damien Legay
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2020 – today
- 2021
- [j1]Mehdi Golzadeh
, Alexandre Decan
, Damien Legay
, Tom Mens
:
A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments. J. Syst. Softw. 175: 110911 (2021) - [c5]Damien Legay
, Alexandre Decan
, Tom Mens
:
A Quantitative Assessment of Package Freshness in Linux Distributions. SoHeal@ICSE 2021: 9-16 - [i4]Damien Legay, Alexandre Decan, Tom Mens:
A Quantitative Assessment of Package Freshness in Linux Distributions. CoRR abs/2103.09066 (2021) - 2020
- [c4]Mehdi Golzadeh, Damien Legay, Alexandre Decan, Tom Mens:
Bot or not?: Detecting bots in GitHub pull request activity based on comment similarity. ICSE (Workshops) 2020: 31-35 - [c3]Damien Legay, Alexandre Decan, Tom Mens:
On Package Freshness in Linux Distributions. ICSME 2020: 682-686 - [i3]Damien Legay, Alexandre Decan, Tom Mens:
On Package Freshness in Linux Distributions. CoRR abs/2007.16123 (2020) - [i2]Mehdi Golzadeh, Alexandre Decan, Damien Legay, Tom Mens:
A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments. CoRR abs/2010.03303 (2020)
2010 – 2019
- 2019
- [c2]Damien Legay, Alexandre Decan, Tom Mens:
On the Usage of Badges in Open Source Packages on GitHub. BENEVOL 2019 - 2018
- [c1]Damien Legay, Alexandre Decan, Tom Mens:
On the Impact of Pull Request Decisions on Future Contributions. BENEVOL 2018: 46-50 - [i1]Damien Legay, Alexandre Decan, Tom Mens:
On the impact of pull request decisions on future contributions. CoRR abs/1812.06269 (2018)
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