 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
Uddin, G., Baysal, O., Guerrouj, L., & Khomh, F. (2021). Understanding How and Why Developers Seek and Analyze API-related Opinions. IEEE Transactions on Software Engineering, 47(4), 694-735. External link
Guerrouj, L., Kermansaravi, Z., Arnaoudova, V., Fung, B. C. M., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (2017). Investigating the relation between lexical smells and change- and fault-proneness: an empirical study. Software Quality Journal, 25(3), 641-670. External link
Guerrouj, L., Di Penta, M., Guéhéneuc, Y.-G., & Antoniol, G. (2014). An experimental investigation on the effects of context on source code identifiers splitting and expansion. Empirical Software Engineering, 19(6), 1706-1753. External link
Guerrouj, L. (2010). Automatic derivation of concepts based on the analysis of identifiers. (Technical Report n° EPM-RT-2010-09). Available
Guerrouj, L., Baysal, O., Lo, D., & Khomh, F. (2016, May). Software analytics: challenges and opportunities [Paper]. 38th International Conference on Software Engineering Companion (ICSE 2016), Austin, TX. External link
Guerrouj, L., Galinier, P., Guéhéneuc, Y.-G., Antoniol, G., & Di Penta, M. (2012, October). TRIS: A fast and accurate identifiers splitting and expansion algorithm [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. External link
Bacchelli, A., Bettenburg, N., & Guerrouj, L. (2012, October). Workshop on mining unstructured data (MUD)... because 'mining unstructured data is like fishing in muddy waters'! [Paper]. 19th Working Conference on Reverse Engineering, WCRE 2012, Kingston, ON, Canada. External link
Dit, B., Guerrouj, L., Poshyvanyk, D., & Antoniol, G. (2011, June). Can better identifier splitting techniques help feature location? [Paper]. 19th IEEE International Conference on Program Comprehension (ICPC 2011), Kingston, ON, Canada. External link
Guerrouj, L. (2010, October). Automatic Derivation of Concepts Based on the Analysis of Source Code Identifiers [Paper]. 17th Working Conference on Reverse Engineering (WCRE 2010), Beverly, Massachusetts, USA. External link
Madani, N., Guerrouj, L., Di Penta, M., Guéhéneuc, Y.-G., & Antoniol, G. (2010, March). Recognizing words from source code identifiers using speech recognition techniques [Paper]. 14th European Conference on Software Maintenance and Reengineering (CSMR 2010), Madrid, Spain. External link
Guerrouj, L. (2013). Context-Aware Source Code Identifier Splitting and Expansion for Software Maintenance [Ph.D. thesis, École Polytechnique de Montréal]. Available
