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Items where Author is "Abidi, Mouna"

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Number of items: 18.

A

Abidi, M., Rahman, M.S., Openja, M., & Khomh, F. (2024). Design smells in multi-language systems and bug-proneness: a survival analysis. Empirical Software Engineering, 29, 106 (42 pages). External link

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. (2021). Multi-Language Design Smells: Characteristics, Prevalence, and Impact [Ph.D. thesis, Polytechnique Montréal]. Available

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

Abidi, M., & Khomh, F. (2020, July). Towards the definition of patterns and code smells for multi-language systems [Paper]. European Conference on Pattern Languages of Programs (EuroPLoP 2020), New York, NY, USA (13 pages). External link

Abidi, M., Khomh, F., & Guéhéneuc, Y.-G. (2019, July). Anti-patterns for multi-language systems [Paper]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (14 pages). External link

Abidi, M., Grichi, M., & Khomh, F. (2019, November). Behind the scenes: developers' perception of multi-language practices [Paper]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada. External link

Abidi, M., Grichi, M., Khomh, F., & Guéhéneuc, Y.-G. (2019, July). Code smells for multi-language systems [Paper]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (13 pages). External link

C

Côté, P.-O., Nikanjam, A., Bouchoucha, R., Basta, I., Abidi, M., & Khomh, F. (2024). Quality issues in machine learning software systems. Empirical Software Engineering, 29(6), 149 (47 pages). External link

G

Grichi, M., Abidi, M., & Jaafar, F. (2024, February). Change Impact Analysis and Cybersecurity Threats in Multi-language Systems: An Industrial Investigation [Paper]. 9th International Congress on Information and Communication Technology (ICICT 2024), London, England. Published in Lecture notes in networks and systems. External link

Grichi, M., Abidi, M., & Jaafar, F. (2024, February). Change impact analysis and cybersecurity threaths in multi-language systems : an industrial investigation [Paper]. 9th International Congress on Information and Communication Technology (ICICT 2024), London, England. External link

Grichi, M., Abidi, M., Jaafar, F., Eghan, E. E., & Adams, B. (2020, December). On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI) [Abstract]. 20th International Conference on Software Quality, Reliability, and Security (QRS 2020), Macau, China. Published in IEEE Transactions on Reliability, 70(1). External link

Grichi, M., Abidi, M., Jaafar, F., Eghan, E. E., & Adams, B. (2020, December). On the Impact of Inter-language Dependencies in Multi-language Systems [Paper]. IEEE 20th International Conference on Software Quality, Reliability and Security (QRS 2020), Macau, China (1 page). External link

Grichi, M., Abidi, M., Guéhéneuc, Y.-G., & Khomh, F. (2019, November). State of practices of Java native interface [Paper]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada. External link

N

Nardone, V., Muse, B. A., Abidi, M., Khomh, F., & Di Penta, M. (2023). Video Game Bad Smells: What They Are and How Developers Perceive Them. ACM Transactions on Software Engineering and Methodology, 32(4), 1-35. External link

O

Openja, M., Khomh, F., Foundjem, A., Jiang, Z. M., Abidi, M., & Hassan, A. E. (2024). An empirical study of testing machine learning in the wild. ACM Transactions on Software Engineering and Methodology. 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

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