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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.
Abdellatif, M. (2021). Service Identification to Support the Migration of Legacy Systems to SOA [Ph.D. thesis, Polytechnique Montréal]. Available
Abdellatif, M., Shatnawi, A., Mili, H., Moha, N., El Boussaidi, G., Hecht, G., Privat, J., & Gueheneuc, Y. G. (2021). A taxonomy of service identification approaches for legacy software systems modernization. Journal of Systems and Software, 173, 110868 (22 pages). External link
Abdellatif, M., Tighilt, R., Belkhir, A., Moha, N., Guéhéneuc, Y.-G., & Beaudry, É. (2020). A multi-dimensional study on the state of the practice of REST APIs usage in Android apps. Automated Software Engineering, 27(3-4), 187-228. External link
Abdellatif, M., Hecht, G., Mili, H., Elboussaidi, G., Moha, N., Shatnawi, A., Privat, J., & Guéhéneuc, Y.-G. (2018, November). State of the Practice in Service Identification for SOA Migration in Industry [Paper]. 16th International Conference on Services-Oriented Computing (ICSOC 2018), Hangzhou, China. External link
Abdellatif, M., Talhi, C., Hamou-Lhadj, A., & Dagenais, M. (2015, September). On the Use of Mobile GPU for Accelerating Malware Detection Using Trace Analysis [Paper]. 34th IEEE Symposium on Reliable Distributed Systems Workshop (SRDSW 2015), Montréal, Québec. External link
Belkhir, A., Abdellatif, M., Tighilt, R., Moha, N., Guéhéneuc, Y.-G., & Beaudry, É. (2019, May). An Observational Study on the State of REST API Uses in Android Mobile Applications [Paper]. 6th IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft 2019), Montréal, Qc, Canada. External link
Hecht, G., Mili, H., El-Boussaidi, G., Boubaker, A., Abdellatif, M., Guéhéneuc, Y.-G., Shatnawi, A., Privat, J., & Moha, N. (2018, December). Codifying Hidden Dependencies in Legacy J2EE Applications [Paper]. 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan. External link
Lapointe, J., Bécotte-Boutin, H.-S., Gagnon, S., Levasseur, S., Labranche, P., D’Auteuil, M., Abdellatif, M., Li, M.-J., & Vallee, R. (2021). Smartphone Screen Integrated Optical Breathalyzer. Sensors, 21(12), 4076 (10 pages). Available
Lapointe, J., Bécotte-Boutin, H.-S., Lafrenière-Greig, J., Gagnon, S., Levasseur, S., Labranche, P., Dauteuil, M., Dupont, A., Abdellatif, M., Li, M.-J., & Vallée, R. (2021, July). Wearable breathalyzer: A simple concept that uses mobile device existing optical components [Paper]. Optical Sensors 2021, Washington, DC, USA. External link
Tran, V. T., Abdellatif, M., & Guéhéneuc, Y.-G. (2021, November). Formalising Solutions to REST API Practices as Design (Anti)Patterns [Paper]. 19th International Conference on Service-Oriented Computing (ICSOC 2021). External link
Tighilt, R., Abdellatif, M., Moha, N., Mili, H., El Boussaidi, G., Privat, J., & Guéhéneuc, Y.-G. (2020, July). On the Study of Microservices Antipatterns: a Catalog Proposal [Paper]. European Conference on Pattern Languages of Programs (EuroPLoP 2020), New York, NY, USA (13 pages). External link