Identifying Technical Debt through a Code Comment Mining Tool-Reference-Cited by-同舟云学术

Identifying Technical Debt through a Code Comment Mining Tool

Published:2019-05-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the XV Brazilian Symposium on Information Systems
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Author:

de F. Farias Mário André¹,Xisto Railan²,Santos Marcos S.²,Fontes Raphael S.²,Colaço Methanias²,Spínola Rodrigo³,Mendonça Manoel⁴

Affiliation:

1. Instituto Federal de Sergipe

2. Universidade Federal de Sergipe

3. Universidade Salvador, Universidade do Estado da Bahia

4. Universidade Federal da Bahia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3330204.3330227

Reference21 articles.

1. An Exploratory Study on Self-Admitted Technical Debt

2. Identification and management of technical debt: A systematic mapping study

3. The WyCash portfolio management system

4. Farias M. Mendonca M. da Silva A. and Spinola R. A Contextualized Vocabulary Model for identifying technical debt on code comments. In IEEE 7th WMTD (2015) no. ii pp. 25--32. Farias M. Mendonca M. da Silva A. and Spinola R. A Contextualized Vocabulary Model for identifying technical debt on code comments. In IEEE 7th WMTD (2015) no. ii pp. 25--32.

5. Farias M. Mendonça M. Kalinowski M. and Spínola R. O. Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary (no prelo). Farias M. Mendonça M. Kalinowski M. and Spínola R. O. Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary (no prelo).

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