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Using developers' feedback to improve code smell detection., , , , и . SAC, стр. 1661-1663. ACM, (2015)Beyond the Code: Investigating the Effects of Pull Request Conversations on Design Decay., , , , , , , , , и 1 other автор(ы). ESEM, стр. 1-12. IEEE, (2023)Search-based many-criteria identification of microservices from legacy systems., , , , , , , и . GECCO Companion, стр. 305-306. ACM, (2020)A Qualitative Analysis of Variability Weaknesses in Configurable Systems with #ifdefs., , , , , и . VaMoS, стр. 51-58. ACM, (2018)Investigating the social representations of code smell identification: a preliminary study., , , , , , и . CHASE@ICSE, стр. 53-60. IEEE / ACM, (2019)Manual Tests Do Smell! Cataloging and Identifying Natural Language Test Smells., , , , , , , , , и . ESEM, стр. 1-11. IEEE, (2023)Investigating the Social Representations of the Identification of Code Smells by Practitioners and Students from Brazil., , , , , , , и . SBES, стр. 457-466. ACM, (2019)Lint-Based Warnings in Python Code: Frequency, Awareness and Refactoring., , , , , и . SCAM, стр. 208-218. IEEE, (2022)Code Change History and Software Vulnerabilities., , и . DSN Workshops, стр. 6-9. IEEE Computer Society, (2016)On the Performance and Adoption of Search-Based Microservice Identification with toMicroservices., , , , , , , , и . ICSME, стр. 569-580. IEEE, (2020)