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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Abidi, M., Grichi, M., Khomh, F., & Guéhéneuc, Y.-G. (2025). Anti-patterns and Code Smells for Multi-language Systems. In Wallingford, E., Zdun, U., & Kohls, C. (eds.), Transactions on Pattern Languages of Programming V (pp. 118-161). 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
Bhatia, A., Eghan, E. E., Grichi, M., Cavanagh, W. G., Jiang, Z. M., & Adams, B. (2023). Towards a change taxonomy for machine learning pipelines Empirical study of ML pipelines and forks related to academic publications. Empirical Software Engineering, 28(3), 60 (34 pages). External link
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. (2020). Towards Understanding Modern Multi-Language Software Systems [Ph.D. thesis, Polytechnique Montréal]. Available
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., Eghan, E. E., & Adams, B. (2020, September). On the Impact of Multi-language Development in Machine Learning Frameworks [Paper]. 36th IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). 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