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Automatically recognizing the semantic elements from UML class diagram images.

, , , and . J. Syst. Softw., (2022)

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Usefulness of open domain model for identifying missing software requirements concepts., , and . Softw. Pract. Exp., 54 (3): 437-464 (March 2024)An Evolutionary Methodology for Optimized Feature Selection in Software Product Lines., and . SEKE, page 63-66. Knowledge Systems Institute Graduate School, (2014)Leveraging Traceability to Reveal the Tapestry of Quality Concerns in Source Code., , , and . SST@ICSE, page 50-56. IEEE Computer Society, (2015)An approach for optimized feature selection in large-scale software product lines., , , and . J. Syst. Softw., (2018)A Monte Carlo Implementation of Galactic Free-Free Emission for the EoR Foreground Models, , , , and . (2020)cite arxiv:2007.02322Comment: 19 pages,17figures, the ApJS published version. arXiv admin note: text overlap with arXiv:2005.04196.Automatically detecting the conflicts between software requirements based on finer semantic analysis., , and . CoRR, (2021)Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems., , and . CoRR, (2024)Assisting engineers extracting requirements on components from domain documents., , and . Inf. Softw. Technol., (2020)Contribution of Radio Halos to the Foreground for SKA EoR Experiments, , , , , , , , , and 4 other author(s). (2019)cite arxiv:1905.05399Comment: main text 18 pages, 16 figures, 2 appendixes; ApJ accepted.Putting software requirements under the microscope: automated extraction of their semantic elements., , and . RE, page 416-417. IEEE, (2021)