A Contextualized Vocabulary Model for identifying technical debt on code comments-Reference-Cited by-同舟云学术

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A Contextualized Vocabulary Model for identifying technical debt on code comments

Published:2015-10 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE 7th International Workshop on Managing Technical Debt (MTD)
language:
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Author:

de Freitas Farias Mario Andre¹,de Mendonca Neto Manoel Gomes²,da Silva Andre Batista³,Spinola Rodrigo Oliveira⁴

Affiliation:

1. Federal Institute of Sergipe, Federal University of Bahia, Salvador, Brazil

2. Fraunhofer Project Center at UFBA, Federal University of Bahia, Salvador, Brazil

3. Federal University of Sergipe, Itabaiana, Brazil

4. Fraunhofer Project Center at UFBA, Salvador University, BA, Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7321917/7332613/07332621.pdf?arnumber=7332621

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1. Towards automating self-admitted technical debt repayment;Information and Software Technology;2024-03

2. Identifying Self-admitted Technical Debt with Context-Based Ladder Network;Communications in Computer and Information Science;2023-11-26

3. Keyword-labeled self-admitted technical debt and static code analysis have significant relationship but limited overlap;Software Quality Journal;2023-11-16

4. Analysis of the Technical Debt of Software Projects Based on Merge Code Comments;Proceedings of the 17th Brazilian Symposium on Software Components, Architectures, and Reuse;2023-09-25

5. Deuda técnica en arquitectura: una estrategia de identificación;Ingeniería y Competitividad;2023-09-21

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