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This 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.
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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.
Ali, N., Wu, W., Antoniol, G., Di Penta, M., Guéhéneuc, Y.-G., & Hayes, J. H. (2011, September). MoMS: Multi-objective miniaturization of software [Paper]. 27th IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, United states. External link
Ali, N., Wu, W., Antoniol, G., Di Penta, M., Guéhéneuc, Y.-G., & Hayes, J. H. (2010). A novel process and its implementation for the multi-objective miniaturization of software. (Technical Report n° EPM-RT-2010-04). Available
Fu, X., Wu, W., Li, P., Mahseredjian, J., Wu, J., & Wang, C. (2024). Splitting State-Space Method for Converter-Integrated Power Systems EMT Simulations. IEEE Transactions on Power Delivery, 11 pages. External link
Wang, K., Wu, W., Zhang, Q., Zhang, Q., Laurin, J.-J., & Wu, K. (2020, July). TM Scattering from 2D Homogenous Anisotropic Cylinders Using a Multifilament Current Method [Paper]. IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (IEEECONF 2020), Montréal, Québec. External link
Wu, W., Khomh, F., Adams, B., Guéhéneuc, Y.-G., & Antoniol, G. (2015). An exploratory study of API changes and usages based on Apache and Eclipse ecosystems. Empirical Software Engineering, 21(6), 2366-2412. External link
Wu, W., Serveaux, A., Guéhéneuc, Y.-G., & Antoniol, G. (2015). The impact of imperfect change rules on framework API evolution identification: an empirical study. Empirical Software Engineering, 20(4), 1126-1158. External link
Wu, W. (2014). Understanding and Tooling Framework API Evolution [Ph.D. thesis, École Polytechnique de Montréal]. Available
Wu, W., Guéhéneuc, Y.-G., Antoniol, G., & Kim, M. (2013). HALO : a multi-feature two-pass analysis to identify framework API evolution. (Technical Report n° EPM-RT-2013-05). Available
Wu, W. (2011, June). Modeling framework API evolution as a multi-objective optimization problem [Paper]. IEEE 19th International Conference on Program Comprehension, ICPC 2011, Kingston, ON, Canada. External link
Wu, W., Guéhéneuc, Y.-G., Antoniol, G., & Kim, M. (2010, May). AURA: A hybrid approach to identify framework evolution [Paper]. 32nd ACM/IEEE International Conference on Software Engineering (ICSE 2010), Cape Town, South africa. External link