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On the Density and Diversity of Degradation Symptoms in Refactored Classes: A Multi-case Study.

, , , , , , and . ISSRE, page 346-357. IEEE, (2019)

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Revealing Developers' Arguments on Validating the Incidence of Code Smells: A Focus Group Experience., , , , , and . VEM, page 31-35. Sociedade Brasileira de Computação, (2021)Understanding the impact of refactoring on smells: a longitudinal study of 23 software projects., , , , , , , , and . ESEC/SIGSOFT FSE, page 465-475. ACM, (2017)Tracking Dengue Epidemics Using Twitter Content Classification and Topic Modelling., , , , , , , and . ICWE Workshops, volume 9881 of Lecture Notes in Computer Science, page 80-92. (2016)Towards Effective Teams for the Identification of Code Smells., , , and . CHASE@ICSE, page 62-65. IEEE Computer Society, (2017)Smell Patterns as Indicators of Design Degradation: Do Developers Agree?, , , , , , and . SBES, page 311-320. ACM, (2022)No Code Anomaly is an Island - Anomaly Agglomeration as Sign of Product Line Instabilities., , , , , and . ICSR, volume 10221 of Lecture Notes in Computer Science, page 48-64. (2017)Evolução de software livre baseada em métricas de qualidade: Um estudo de caso., , , , , , and . SBSI, page 815-826. (2013)Spotting design problems with smell agglomerations.. ICSE (Companion Volume), page 863-866. ACM, (2016)How Do Software Developers Identify Design Problems?: A Qualitative Analysis., , , , , , , , , and 1 other author(s). SBES, page 54-63. ACM, (2017)Code anomalies flock together: exploring code anomaly agglomerations for locating design problems., , , , and . ICSE, page 440-451. ACM, (2016)