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Items where Author is "Openja, Moses"

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Number of items: 13.

A

Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2022). Multi-language design smells: a backstage perspective. Empirical Software Engineering, 27(5), 52 pages. External link

Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2021). Are Multi-Language Design Smells Fault-Prone? An Empirical Study. ACM Transactions on Software Engineering and Methodology, 30(3), 1-56. External link

Abidi, M., Openja, M., & Khomh, F. (2020, June). Multi-language design smells : a backstage perspective [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. External link

B

Businge, J., Openja, M., Nadi, S., & Berger, T. (2022). Reuse and maintenance practices among divergent forks in three software ecosystems. Empirical Software Engineering, 27(2), 54 (47 pages). External link

Businge, J., Openja, M., Kavaler, D., Bainomugisha, E., Khomh, F., & Filkov, V. (2019, February). Studying Android App Popularity by Cross-Linking GitHub and Google Play Store [Paper]. 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019), Hangzhou, China. External link

E

El aoun, M. R., Li, H., Khomh, F., & Openja, M. (2021, September). Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2021), Luxembourg, Netherlands. External link

M

Majidi, F., Openja, M., Khomh, F., & Li, H. (2022, October). An Empirical Study on the Usage of Automated Machine Learning Tools [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. External link

O

Openja, M., Laberge, G., & Khomh, F. (2024). Detection and evaluation of bias-inducing features in machine learning. Empirical Software Engineering, 29(1), 71 pages. External link

Openja, M., Nikanjam, A., Yahmed, A. H., Khomh, F., & Jiang, Z. M. J. (2022, October). An Empirical Study of Challenges in Converting Deep Learning Models [Paper]. 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. External link

Openja, M., Majidi, F., Khomh, F., Chembakottu, B., & Li, H. (2022, June). Studying the Practices of Deploying Machine Learning Projects on Docker [Paper]. 26th ACM International Conference on Evaluation and Assessment in Software Engineering (EASE 2022), Gothenburg, Sweden. External link

Openja, M., Morovati, M. M., An, L., Khomh, F., & Abidi, M. (2022). Technical debts and faults in open-source quantum software systems: An empirical study. Journal of Systems and Software, 193, 28 pages. External link

Openja, M. (2021). An Empirical Study of Testing and Release Practices for Machine Learning Software Systems [Master's thesis, Polytechnique Montréal]. Available

Openja, M., Adams, B., & Khomh, F. (2020, September). Analysis of Modern Release Engineering Topics : – A Large-Scale Study using StackOverflow – [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020), Adelaide, Australia. External link

List generated on: Sun Feb 25 08:58:28 2024 EST