 | 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.
Asri, I. E., Kerzazi, N., Uddin, G., Khomh, F., & Janati Idrissi, M. A. (2019). An empirical study of sentiments in code reviews. Information and Software Technology, 114, 37-54. External link
Firouzi, E., Sami, A., Khomh, F., & Uddin, G. (2020, October). On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow [Paper]. 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2020), Bari, Italy (6 pages). External link
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (2024). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM Transactions on Software Engineering and Methodology. External link
Uddin, G., Guéhénuc, Y.-G., Khomh, F., & Roy, C. K. (2022). An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets. ACM Transactions on Software Engineering and Methodology, 31(3), 1-38. External link
Uddin, G., Khomh, F., & Roy, C. K. (2021). Automatic API Usage Scenario Documentation from Technical Q&A Sites. ACM Transactions on Software Engineering and Methodology, 30(3), 1-45. External link
Uddin, G., & Khomh, F. (2021). Automatic Mining of Opinions Expressed About APIs in Stack Overflow. IEEE Transactions on Software Engineering, 47(3), 522-559. External link
Uddin, G., Sabir, F., Gueheneuc, Y. G., Alam, O., & Khomh, F. (2021). An empirical study of IoT topics in IoT developer discussions on Stack Overflow. Empirical Software Engineering, 26(6), 121 (45 pages). External link
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
Uddin, G., Khomh, F., & Roy, C. K. (2020). Mining API usage scenarios from stack overflow. Information and Software Technology, 122, 16 pages. External link
Uddin, G., Khomh, F., & Roy, C. K. (2019, May). Towards crowd-sourced API documentation [Paper]. 41st International Conference on Software Engineering - Software Engineering in Practice (ICSE-SEIP 2019), Montréal, Québec, Canada. External link
Uddin, G., & Khomh, F. (2017, October). Automatic summarization of API reviews [Paper]. 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), Urbana-Champaign, IL. External link
Uddin, G., & Khomh, F. (2017). Mining API aspects in API Reviews. (Technical Report). Unavailable
Uddin, G., & Khomh, F. (2017, October). Opiner: An opinion search and summarization engine for APIs [Paper]. 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), Urbana, IL, USA. External link
Vahedi, M., Rahman, M. M., Khomh, F., Uddin, G., & Antoniol, G. (2021, March). Summarizing Relevant Parts from Technical Videos [Paper]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA. External link
Verdi, M., Sami, A., Akhondali, J., Khomh, F., Uddin, G., & Karami Motlagh, A. (2020). An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. IEEE Transactions on Software Engineering, 48(5), 1497-1514. External link
