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Investigating the Identification of Technical Debt Through Code Comment Analysis.

, , , , and . ICEIS (Revised Selected Papers), volume 291 of Lecture Notes in Business Information Processing, page 284-309. Springer, (2016)

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Supporting Decision Making during Emergencies through Information Visualization of Crowdsourcing Emergency Data., , , , and . ICEIS (3), page 178-185. SciTePress, (2017)Decision Criteria for the Payment of Technical Debt in Software Projects: A Systematic Mapping Study., , , and . ICEIS (1), page 572-579. SciTePress, (2016)Impacts of agile requirements documentation debt on software projects: a retrospective study., , , , , and . SAC, page 1290-1295. ACM, (2016)Do Software Engineers Have Preferred Representational Systems?, , , , and . J. Res. Pract. Inf. Technol., (2015)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)How Experience Impacts Practitioners' Perception of Causes and Effects of Technical Debt., , , , , , , , , and 5 other author(s). CHASE@ICSE, page 21-30. IEEE, (2021)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)Combining software visualization paradigms to support software comprehension activities., , and . SOFTVIS, page 201-202. ACM, (2008)