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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.
Rahman, M. M., Khomh, F., & Castelluccio, M. (2022). Works for me! Cannot reproduce: A large scale empirical study of non-reproducible bugs. Empirical Software Engineering, 27(5), 111 (45 pages). External link
An, L., Castelluccio, M., & Khomh, F. (2019). An empirical study of DLL injection bugs in the Firefox ecosystem. Empirical Software Engineering, 24(4), 1799-1822. External link
Castelluccio, M., An, L., & Khomh, F. (2018). An empirical study of patch uplift in rapid release development pipelines. Empirical Software Engineering, 24(5), 3008-3044. External link
Rahman, M. M., Khomh, F., & Castelluccio, M. (2020, September). Why are Some Bugs Non-Reproducible? : An Empirical Investigation using Data Fusion [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). External link
Le, A., Khomh, F., McIntosh, S., & Castelluccio, M. (2018, December). Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox [Paper]. 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan (10 pages). External link
Castelluccio, M., An, L., & Khomh, F. (2017, September). Is it safe to uplift this patch? : An empirical study on Mozilla Firefox [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2017), Shanghai, China. External link