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A Strategy Based on Multiple Decision Criteria to Support Technical Debt Management.

, , , and . SEAA, page 334-341. IEEE Computer Society, (2017)

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A Contextualized Vocabulary Model for identifying technical debt on code comments., , , and . MTD@ICSME, page 25-32. IEEE Computer Society, (2015)Pitfalls and Solutions for Technical Debt Management in Agile Software Projects., , , , , , , , , and 5 other author(s). IEEE Softw., 38 (6): 42-49 (2021)Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary., , , and . Inf. Softw. Technol., (2020)Usando Medição de Código Fonte para Refactoring., and . JIISIC, page 223-231. (2002)A Prototype Experience Management System for a Software Consulting Organization., , , and . SEKE, page 29-36. (2001)The problem of conceptualization in god class detection: agreement, strategies and decision drivers., , , and . J. Softw. Eng. Res. Dev., (2014)Relacionando Refactorings e Métricas de Código Fonte - Um Primeiro Passo para Detecção Automática de Oportunidades de Refactoring., and . SBES, page 47-62. SBC, (2003)Data Warehousing in an Industrial Software Development Environment., , and . SEW, page 131-135. IEEE Computer Society, (2009)A Study of Factors that Lead Development Teams to Incur Technical Debt in Software Projects., , , and . SEAA, page 429-436. IEEE Computer Society, (2018)A Strategy Based on Multiple Decision Criteria to Support Technical Debt Management., , , and . SEAA, page 334-341. IEEE Computer Society, (2017)