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An Ontology-based Approach to Analyzing the Occurrence of Code Smells in Software.

, , , и . ICEIS (2), стр. 155-165. SciTePress, (2017)

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Marcílio Mendonça

Jeronimo Mendonça

Manoel Marcos Freire d'Aguiar Neto

Nelson Mendonça Mattos

Antonio Raimundo Gomes Frota Neto

 

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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)Data Warehousing in an Industrial Software Development Environment., , и . SEW, стр. 131-135. IEEE Computer Society, (2009)A Study of Factors that Lead Development Teams to Incur Technical Debt in Software Projects., , , и . SEAA, стр. 429-436. IEEE Computer Society, (2018)A Strategy Based on Multiple Decision Criteria to Support Technical Debt Management., , , и . SEAA, стр. 334-341. IEEE Computer Society, (2017)Relacionando Refactorings e Métricas de Código Fonte - Um Primeiro Passo para Detecção Automática de Oportunidades de Refactoring., и . SBES, стр. 47-62. SBC, (2003)Usando Medição de Código Fonte para Refactoring., и . JIISIC, стр. 223-231. (2002)A Prototype Experience Management System for a Software Consulting Organization., , , и . SEKE, стр. 29-36. (2001)An Ontology-based Approach to Analyzing the Occurrence of Code Smells in Software., , , и . ICEIS (2), стр. 155-165. SciTePress, (2017)A tertiary study on technical debt: Types, management strategies, research trends, and base information for practitioners., , и . Inf. Softw. Technol., (2018)Common Causes and Effects of Technical Debt in Serbian IT: InsighTD Survey Replication., , , , , , и . SEAA, стр. 354-361. IEEE, (2020)