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Authors: Mário André de Freitas Farias 1 ; Methanias Colaço 2 ; Rodrigo Oliveira Spínola 3 and Manoel G. de Mendonça Neto 4

Affiliations: 1 Federal Institute of Sergipe and Federal University of Bahia, Brazil ; 2 Federal University of Sergipe, Brazil ; 3 Fraunhofer Project Center at UFBA and Salvador University, Brazil ; 4 Federal University of Bahia, Brazil

Keyword(s): Contextualized Vocabulary, Technical Debt Identificartion, Code Comment Analysis, Family of Experiments.

Abstract: In order to effectively manage technical debt (TD), a set of indicators has been used by automated approaches to identify TD items. However, some debt may not be directly identified using only metrics collected from the source code. In thie sense, this work aims to propose an approach to support and automate the identification and management of different TD types through code comment analysis by considering the developers’ point of view.

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Paper citation in several formats:
Farias, M.; Colaço, M.; Spínola, R. and Neto, M. (2016). Identifying Technical Debt through Code Comment Analysis.In Doctoral Consortium - DCEIS, (ICEIS 2016) ISBN , pages 9-14

@conference{dceis16,
author={Mário André de Freitas Farias. and Methanias Cola\c{C}o. and Rodrigo Oliveira Spínola. and Manoel G. de Mendon\c{C}a Neto.},
title={Identifying Technical Debt through Code Comment Analysis},
booktitle={Doctoral Consortium - DCEIS, (ICEIS 2016)},
year={2016},
pages={9-14},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}

TY - CONF

JO - Doctoral Consortium - DCEIS, (ICEIS 2016)
TI - Identifying Technical Debt through Code Comment Analysis
SN -
AU - Farias, M.
AU - Colaço, M.
AU - Spínola, R.
AU - Neto, M.
PY - 2016
SP - 9
EP - 14
DO -

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