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On the Influence of Human Factors for Identifying Code Smells: A Multi-Trial Empirical Study., , and . ESEM, page 68-77. IEEE Computer Society, (2017)On the identification of design problems in stinky code: experiences and tool support., , , , , , and . J. Braz. Comput. Soc., 24 (1): 13:1-13:30 (2018)How Do Software Developers Identify Design Problems?: A Qualitative Analysis., , , , , , , , , and 1 other author(s). SBES, page 54-63. ACM, (2017)Collaborative Identification of Code Smells: A Multi-Case Study., , , , , , , , and . ICSE-SEIP, page 33-42. IEEE Computer Society, (2017)Investigating the Social Representations of the Identification of Code Smells by Practitioners and Students from Brazil., , , , , , , and . SBES, page 457-466. ACM, (2019)A scientific software ecosystem architecture for the livestock domain., , , , , , , and . Inf. Softw. Technol., (August 2023)Identifying design problems in the source code: a grounded theory., , , , , , , , , and 2 other author(s). ICSE, page 921-931. ACM, (2018)Removal of design problems through refactorings: are we looking at the right symptoms?, , , , , and . ICPC, page 148-153. IEEE / ACM, (2019)On the Density and Diversity of Degradation Symptoms in Refactored Classes: A Multi-case Study., , , , , , and . ISSRE, page 346-357. IEEE, (2019)Collaborative or individual identification of code smells? On the effectiveness of novice and professional developers., , , , and . Inf. Softw. Technol., (2020)