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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)

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Impacts of agile requirements documentation debt on software projects: a retrospective study., , , , , and . SAC, page 1290-1295. ACM, (2016)Combining software visualization paradigms to support software comprehension activities., , and . SOFTVIS, page 201-202. ACM, (2008)Evaluating a LSTM Neural Network and a Word2vec Model in the Classification of Self-admitted Technical Debts and Their Types in Code Comments., , , and . ICEIS (Revised Selected Papers), volume 417 of Lecture Notes in Business Information Processing, page 542-559. Springer, (2020)Free and Open Source Software Development and Research: Opportunities for Software Engineering., , , , , and . SBES, page 82-91. IEEE Computer Society, (2011)On the proactive and interactive visualization for feature evolution comprehension: An industrial investigation., , , , , , and . ICSE, page 1044-1053. IEEE Computer Society, (2012)Custos associados a execução de um programa de medição em uma organização de desenvolvimento de software de médio porte., and . CIbSE, page 155-168. (2008)How do Technical Debt Payment Practices Relate to the Effects of the Presence of Debt Items in Software Projects?, , , , , , , and . SANER, page 605-609. IEEE, (2021)Investigating the Link between User Stories and Documentation Debt on Software Projects., , , , and . ITNG, page 385-390. IEEE Computer Society, (2015)A Visual Analytics Based Model for Crisis Management Decision-Making., , and . ISCRAM, page 157-166. ISCRAM Digital Library, (2020)PBR: Transferência de Tecnologia Baseada em Pacotes de Experimentação., , , , , , , and . SBQS, page 102-116. SBC, (2004)