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Word cloudA 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.
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
Petrillo, F., Soh, Z., Khomh, F., Pimenta, M., Freitas, C., & Guéhéneuc, Y.-G. (2016, August). Towards Understanding Interactive Debugging [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2016), Vienna, Austria. External link
Petrillo, F., Soh, Z., Khomh, F., Pimenta, M., Freitas, C., & Guéhéneuc, Y.-G. (2016, May). Understanding interactive debugging with swarm debug infrastructure [Paper]. 24th IEEE International Conference on Program Comprehension (ICPC 2016), Austin, TX (4 pages). External link
Soh, Z., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2018). Noise in Mylyn interaction traces and its impact on developers and recommendation systems. Empirical Software Engineering Journal, 23(2), 645-692. External link
Soh, Z., Yamashita, A., Khomh, F., & Guéhéneuc, Y.-G. (2016, March). Do code smells impact the effort of different maintenance programming activities? [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2106), Osaka, Japan. External link
Soh, Z. (2015). Improving Program Comprehension and Recommendation Systems Using Developers' Context [Ph.D. thesis, École Polytechnique de Montréal]. Available
Soh, Z., Drioul, T., Rappe, P.-A., Khomh, F., Guéhéneuc, Y.-G., & Habra, N. (2015, October). Noises in interaction traces data and their impact on previous research studies [Paper]. ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2015), Beijing, China (10 pages). External link
Soh, Z., & Guéhéneuc, Y.-G. (2013). Towards the exploration strategies by mining Mylyns' interaction histories. (Technical Report n° EPM-RT-2013-01). Available
Soh, Z., Khomh, F., Guéhéneuc, Y.-G., Antoniol, G., & Adams, B. (2013, October). On the effect of program exploration on maintenance tasks [Paper]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany. External link
Soh, Z., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2013, October). Towards understanding how developers spend their effort during maintenance activities [Paper]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany. External link
Soh, Z., Sharafi, Z., Van Den Plas, B., Porras, G. C., Guéhéneuc, Y.-G., & Antoniol, G. (2012, June). Professional status and expertise for UML class diagram comprehension: An empirical study [Paper]. 20th IEEE International Conference on Program Comprehension (ICPC 2012), Passau, Germany. External link
Sharafi, Z., Soh, Z., Guéhéneuc, Y.-G., & Antoniol, G. (2012, June). Women and men - Different but equal: On the impact of identifier style on source code reading [Paper]. 20th IEEE International Conference on Program Comprehension (ICPC 2012), Passau, Germany. External link
