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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.
Etaiwi, L., Hamel, S., Guéhéneuc, Y.-G., Flageol, W., & Morales, R. (2020, July). Order in Chaos: Prioritizing Mobile App Reviews using Consensus Algorithms [Paper]. 44th IEEE Annual Computers, Software, and Applications Conference (COMPSAC 2020). External link
Morales, R., Khomh, F., & Antoniol, G. (2020). RePOR: Mimicking humans on refactoring tasks. Are we there yet? Empirical Software Engineering, 25(4), 2960-2996. External link
Morales, R., Saborido, R., Khomh, F., Chicano, F., & Antoniol, G. (2018). EARMO: An Energy-Aware Refactoring Approach for Mobile Apps. IEEE Transactions on Software Engineering, 44(12), 1176-1206. External link
Morales, R., Saborido, R., Khomh, F., Chicano, F., & Antoniol, G. (2018, May). EARMO: An energy-aware refactoring approach for mobile apps [Abstract]. 40th IEEE/ACM International Conference on Software Engineering (ICSE 2018), Gothenburg, Sweden (1 page). External link
Morales, R., Chicano, F., Khomh, F., & Antoniol, G. (2018). Efficient refactoring scheduling based on partial order reduction. Journal of Systems and Software, 145, 25-51. External link
Morales, R., Chicano, F., Khomh, F., & Antoniol, G. (2018). Exact search-space size for the refactoring scheduling problem. Automated Software Engineering, 25(2), 195-200. External link
Saborido, R., Morales, R., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2018). Getting the most from map data structures in Android. Empirical Software Engineering, 23(5), 2829-2864. External link
Morales, R., Soh, Z., Khomh, F., Antoniol, G., & Chicano, F. (2017). On the use of developers' context for automatic refactoring of software anti-patterns. Journal of Systems and Software, 128, 236-251. External link
Morales, R., Sabané, A., Musavi, P., Khomh, F., Chicano, F., & Antoniol, G. (2016, March). Finding the best compromise between design quality and testing effort during refactoring [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan. External link
Morales, R., McIntosh, S., & Khomh, F. (2015, March). Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects [Paper]. 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015), Montréal, Québec. External link
Morales, R. (2015, March). Towards a framework for automatic correction of anti-patterns [Paper]. 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015), Montréal, Québec. External link
Galinier, P., Jaumard, B., Morales, R., & Pesant, G. (2001, January). Constraint-based approach to the Golomb ruler problem [Paper]. 3rd International Workshop on the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR 2001), Ashford, UK (14 pages). Unavailable