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Authors: Mário Farias 1 ; Renato Novais 2 ; Paulo Ortins 3 ; Methanias Colaço 4 and Manoel Mendonça 2

Affiliations: 1 Federal Institute of Bahia and Federal Institute of Sergipe, Brazil ; 2 Federal Institute of Bahia and Fraunhofer Project Center for Software and Systems Engineering, Brazil ; 3 Federal University of Bahia, Brazil ; 4 Federal University of Sergipe, Brazil

ISBN: 978-989-758-097-0

Keyword(s): Software Repository Mining, Open Source Contributions, Experimental Software Engineering, Software Visualization, Preferred Representational Systems.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Information Systems Analysis and Specification ; Software Engineering

Abstract: Context: Distributed software development is a modern practice in software industry. This is especially true in Open Source Software (OSS) community. In this context, developers are normally distributed around the world. In addition, most of them work for free and without or with low coordinating. Understanding how developers’ practices are on those projects may guide communities to successfully manage their projects. Goal: We mined two repositories of the Apache Httpd project in order to gather information about its developers’ behavior. Method: We developed an approach to cross data gathered from mail list and source code repository through mining techniques. The approach uses software visualization to analyze the mined data. We conducted an experimental evaluation of the approach to assess the behavioral patterns from OSS development community. Results: Our results show Apache developers’ behavior patterns. In addition, we deepen the analysis of the Preferred Representatio nal System of four top developers presented by Colaço et. al in (Colaço et al., 2010). Conclusion: The use of data mining and software visualization to analyze data from different sources can spot important properties of development processes. (More)

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Paper citation in several formats:
Farias, M.; Novais, R.; Ortins, P.; Colaço, . and Mendonça, M. (2015). Analyzing Distributions of Emails and Commits from OSS Contributors through Mining Software Repositories - An Exploratory Study.In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-097-0, pages 303-310. DOI: 10.5220/0005368603030310

@conference{iceis15,
author={Mário Farias. and Renato Novais. and Paulo Ortins. and Methanias Cola\c{C}o. and Manoel Mendon\c{C}a.},
title={Analyzing Distributions of Emails and Commits from OSS Contributors through Mining Software Repositories - An Exploratory Study},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2015},
pages={303-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005368603030310},
isbn={978-989-758-097-0},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Analyzing Distributions of Emails and Commits from OSS Contributors through Mining Software Repositories - An Exploratory Study
SN - 978-989-758-097-0
AU - Farias, M.
AU - Novais, R.
AU - Ortins, P.
AU - Colaço, .
AU - Mendonça, M.
PY - 2015
SP - 303
EP - 310
DO - 10.5220/0005368603030310

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