 | 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.
Chaaben, M. B., Sghaier, O. B., Dhaouadi, M., Elrasheed, N., Darif, I., Jaoua, I., Oakes, B. J., Syriani, E., & Hamdaqa, M. (2024, September). Toward Intelligent Generation of Tailored Graphical Concrete Syntax [Paper]. ACM/IEEE 27th International Conference on Model Driven Engineering Languages and System, Linz, Austria. External link
Dhaouadi, M., Oakes, B., & Famelis, M. (2025). Automated Extraction and Analysis of Developer's Rationale in Open Source Software. Proceedings of the ACM on software engineering., 2(FSE), 2548-2570. External link
Dhaouadi, M., Oakes, B., & Famelis, M. (2025, June). Automated Extraction and Analysis of Developer's Rationale in Open Source Software [Abstract]. ACM on Software Engineering (FSE 2025), Trondheim, Norway. External link
Dhaouadi, M., Oakes, B., & Famelis, M. (2025, April). CoMRAT: Commit Message Rationale Analysis Tool [Abstract]. 22nd International Conference on Mining Software Repositories (MSR 2025), Ottawa, ON, Canada (1 page). External link
Dhaouadi, M., Oakes, B., & Famelis, M. (2024, April). Rationale Dataset and Analysis for the Commit Messages of the Linux Kernel Out-of-Memory Killer [Paper]. 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024), Lisbon, Portugal. External link
Dhaouadi, M., Oakes, B., & Famelis, M. (2022, October). End-to-End Rationale Reconstruction [Paper]. 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester, MI, USA. External link
Dhaouadi, M., Oakes, B., & Famelis, M. (2023, October). Towards Understanding and Analyzing Rationale in Commit Messages using a Knowledge Graph Approach [Paper]. 5th Workshop on Artificial Intelligence and Model-driven Engineering Co-located with MODELS, Västerås, Sweden. External link
Khaled, K., Dhaouadi, M., Gohring de Magalhaes, F., & Nicolescu, G. (2023, December). Efficient defense against model stealing attacks on convolutional neural networks [Paper]. International Conference on Machine Learning and Applications (ICMLA 2023), Jacksonville, FL, USA. External link
