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Uma análise da relação entre code smells e dívida técnica auto-admitida.

, , , , and . VEM, page 37-44. Sociedade Brasileira de Computação, (2019)

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On Comment Patterns that are Good Indicators of the Presence of Self-Admitted Technical Debt and those that Lead to False Positive Items., , , and . AMCIS, Association for Information Systems, (2021)Uma análise da relação entre code smells e dívida técnica auto-admitida., , , , and . VEM, page 37-44. Sociedade Brasileira de Computação, (2019)A Systematic Mapping Study on Software Comments Analysis., , , , and . SEKE, page 681-680. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2018)OSS developers context-specific Preferred Representational systems: A initial Neurolinguistic text analysis of the Apache mailing list., , , and . MSR, page 126-129. IEEE Computer Society, (2010)Cross-Layer Measurement for the Analysis of DVB-T System Performance., , , and . IEEE Trans. Instrumentation and Measurement, 57 (7): 1304-1312 (2008)Procedural x OO - A Corporative Experiment on Source Code Clone Mining., , and . ICEIS (2), page 395-402. SciTePress, (2017)Recovering Valuable Information Behaviour from OSS Contributors: An Exploratory Study., , , , and . SEKE, page 474-477. Knowledge Systems Institute Graduate School, (2014)A Study on Identification of Documentation and Requirement Technical Debt through Code Comment Analysis., , , and . SBQS, page 21-30. ACM, (2018)A Contextualized Vocabulary Model for identifying technical debt on code comments., , , and . MTD@ICSME, page 25-32. IEEE Computer Society, (2015)A systematic mapping study on mining software repositories., , , , , and . SAC, page 1472-1479. ACM, (2016)