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A Contextualized Vocabulary Model for identifying technical debt on code comments., , , и . MTD@ICSME, стр. 25-32. IEEE Computer Society, (2015)Hearing the Voice of Software Practitioners on Causes, Effects, and Practices to Deal with Documentation Debt., , , , , , , , , и 1 other автор(ы). REFSQ, том 12045 из Lecture Notes in Computer Science, стр. 55-70. Springer, (2020)Technical debt payment and prevention through the lenses of software architects., , , , , , , и . Inf. Softw. Technol., (2021)A Study on Identification of Documentation and Requirement Technical Debt through Code Comment Analysis., , , и . SBQS, стр. 21-30. ACM, (2018)Um Survey sobre a Pertinência e Relevância de Critérios de Decisão para Apoiar o Gerenciamento de Itens de Dívida Técnica., и . SBQS, стр. 256-270. SBC, (2016)Uma Infra-Estrutura para Integração de Ferramentas CASE., , и . SBES, стр. 147-162. SBC, (2004)The most common causes and effects of technical debt: first results from a global family of industrial surveys., , , и . ESEM, стр. 39:1-39:10. ACM, (2018)Influence of Model Refactoring on Code Debt: A Replicated Study., , , , и . SBES, стр. 452-456. ACM, (2019)Inspeções de Requisitos de Software em Desenvolvimento Incremental: Uma Experiência Prática., , , , и . SBQS, стр. 389-396. SBC, (2007)Supporting analysis of technical debt causes and effects with cross-company probabilistic cause-effect diagrams., , , и . TechDebt@ICSE, стр. 3-12. IEEE / ACM, (2019)