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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
Rahman, M. M., Khomh, F., Yeasmin, S., & Roy, C. K. (2021). The forgotten role of search queries in IR-based bug localization: an empirical study. Empirical Software Engineering, 26(6), 116 (56 pages). 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
Ehsan, O., Barbour, L., Khomh, F., & Zou, Y. (2021). Is Late Propagation a Harmful Code Clone Evolutionary Pattern? An Empirical Study. In Inoue, K., & Roy, C. K. (eds.), Code Clone Analysis : Research, Tools, and Practice . External link