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Golzadeh Mehdi


Main Referenced Co-authors
Decan, Alexandre  (17)
Mens, Tom  (15)
Chidambaram, Natarajan  (3)
Constantinou, Eleni  (3)
Legay, Damien  (2)
Main Referenced Keywords
software repository mining (3); open source software (2); [en] Bot detection (1); [en] collaborative software development (1); [en] empirical analysis (1);
Main Referenced Disciplines
Computer science (20)
Electrical & electronics engineering (8)
Library & information sciences (1)

Publications (total 20)

The most downloaded
34 downloads
Decan, A., Mens, T., Rostami Mazrae, P., & Golzadeh, M. (2022). On the Use of GitHub Actions in Software Development Repositories. In Proceedings of 38th IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE. https://hdl.handle.net/20.500.12907/43043
The most cited
28 citations (Scopus®)
Golzadeh, M., Decan, A., Legay, D., & Mens, T. (02 February 2021). A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments. Journal of Systems and Software, 175. doi:10.1016/j.jss.2021.110911 https://hdl.handle.net/20.500.12907/23824

Golzadeh, M., Decan, A., & Chidambaram, N. (In press). On the Accuracy of Bot Detection Techniques. In 4th Workshop on Bots in Software Engineering (BotSE), IEEE/ACM ICSEW 2022. ACM.
Peer reviewed

Chidambaram, N., Decan, A., & Golzadeh, M. (In press). Leveraging Predictions From Multiple Repositories to Improve Bot Detection. In 4th Workshop on Bots in Software Engineering (BotSE), IEEE/ACM ICSEW 2022. IEEE. doi:10.1145/3528228.3528403
Peer reviewed

Rostami mazrae, P., Mens, T., Golzadeh, M., & Decan, A. (07 March 2023). On the usage, co-usage and migration of CI/CD tools: A qualitative analysis. Empirical Software Engineering, 28 (52). doi:10.1007/s10664-022-10285-5
Peer Reviewed verified by ORBi

Decan, A., Mens, T., Rostami Mazrae, P., & Golzadeh, M. (2022). On the Use of GitHub Actions in Software Development Repositories. In Proceedings of 38th IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE.
Peer reviewed

Golzadeh, M., MENS, T., DECAN, A., Constantinou, E., & Chidambaram, N. (26 May 2022). Recognizing bot activity in collaborative software development. IEEE Software, 39 (5), 56-61. doi:10.1109/ms.2022.3178601
Peer Reviewed verified by ORBi

Golzadeh, M., Decan, A., & Mens, T. (2022). On the rise and fall of CI services in GitHub. In Proceedings of the International Conference on Software Analysis, Evolution and Reengineering (SANER). Honolulu, Unknown/unspecified: IEEE.
Peer reviewed

Golzadeh, M., Decan, A., & Mens, T. (2022). On the rise and fall of CI services in GitHub. 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Honolulu, Hawai, 2022.
Peer reviewed

Golzadeh, M., Decan, A., & Mens, T. (08 December 2021). On the evolution of CI usage and GitHub Actions. Paper presented at BENEVOL - 20th Belgium-Netherlands Software Evolution Workshop, 's-Hertogenbosch, Netherlands.

Golzadeh, M., Decan, A., & Mens, T. (02 December 2021). A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments. Paper presented at Groupe de Travail Vélocité Logicielle, Paris, France.

Golzadeh, M., Decan, A., Constantinou, E., & Mens, T. (2021). Identifying bot activity in GitHub pull request and issue comments. In 2021 IEEE/ACM Third International Workshop on Bots in Software Engineering (BotSE). IEEE.
Peer reviewed

Golzadeh, M., Decan, A., Legay, D., & Mens, T. (04 June 2021). A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments. Paper presented at 3rd Workshop on Bots in Software Engineering (BotSE), Madrid, Spain.

Golzadeh, M.* , Decan, A.* , & Mens, T.*. (2021). Evaluating a bot detection model on git commit messages. In Proceedings of the 19th Belgium-Netherlands Software Evolution Workshop. CEUR-WS.org.
Peer reviewed
* These authors have contributed equally to this work.

Golzadeh, M., Decan, A., Constantinou, E., & Mens, T. (2021). Identifying bot activity in GitHub pull request and issue comments. In Proceedings of 3rd Workshop on Bots in Software Engineering (BotSE). IEEE.
Peer reviewed

Golzadeh, M., Decan, A., Legay, D., & Mens, T. (02 February 2021). A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments. Journal of Systems and Software, 175. doi:10.1016/j.jss.2021.110911
Peer Reviewed verified by ORBi

Golzadeh, M. (2020). BoDeGHa.

Golzadeh, M., Legay, D., Decan, A., & Mens, T. (2020). Bot or not? Detecting bots in GitHub pull request activity based on comment similarity. Paper presented at BotSE20: ICSE Workshop on Bots in Software Engineering, Seoul, South Korea.

Golzadeh, M., Decan, A., & Mens, T. (2019). On the effect of discussions on pull request decisions. Paper presented at Belgium-Netherlands Software Evolution Workshop, Bruxelles, Belgium.

Golzadeh, M., Decan, A., & Mens, T. (22 November 2019). On the effect of discussions on pull request decisions. Paper presented at Grascomp Doctoral Day (GDD'19), UNamur, Belgium.

Mohammad, J., Golzadeh, M., Sied Ziaedin, S. T., Hadi, A., Mahdi, G., & Saeed, C. C. (2019). Effects of Conventional Flotation Frothers on the Population of Mesophilic Microorganisms in Different Cultures. Processes.
Peer reviewed

Golzadeh, M. (2019). Analysing Socio-technical Congruence in the Package Dependency Network of Cargo. In Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). ACM. doi:10.1145/3338906.3342497
Peer reviewed

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