Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/109375
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Type: Conference paper
Title: Assessing developer contribution with repository mining-based metrics
Author: Lima, J.
Treude, C.
Filho, F.
Kulesza, U.
Citation: Proceedings of the 2015 IEEE 31st International Conference on Software Maintenance and Evolution, 2015 / Koschke, R., Krinke, J., Robillard, M. (ed./s), pp.536-540
Publisher: IEEE
Issue Date: 2015
Series/Report no.: Proceedings-IEEE International Conference on Software Maintenance
ISBN: 9781467375320
ISSN: 1063-6773
Conference Name: International Conference on Software Maintenance and Evolution (ICSME) (29 Sep 2015 - 01 Oct 2015 : Bremen, Germany)
Statement of
Responsibility: 
Jalerson Lima, Christoph Treude, Fernando Figueira Filho, Uirá Kulesza
Abstract: Productivity as a result of individual developers' con-tributions is an important aspect for software companies to main-tain their competitiveness in the market. However, there is no con-sensus in the literature on how to measure productivity or devel-oper contribution. While some repository mining-based metrics have been proposed, they lack validation in terms of their applica-bility and usefulness from the individuals who will use them to as-sess developer contribution: team and project leaders. In this pa-per, we propose the design of a suite of metrics for the assessment of developer contribution, based on empirical evidence obtained from project and team leaders. In a preliminary evaluation with four software development teams, we found that code contribution and code complexity metrics received the most positive feedback, while participants pointed out several threats of using bug-related metrics for contribution assessment. None of the metrics can be used in isolation, and project leaders and developers need to be aware of the benefits, limitations, and threats of each one. These findings present a first step towards the design of a larger suite of metrics as well as an investigation into the impact of using metrics to assess contribution.
Keywords: Project management; software contribution metrics; mining software repositories
Rights: © 2015 IEEE
RMID: 0030045573
DOI: 10.1109/ICSM.2015.7332509
Published version: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7321954
Appears in Collections:Computer Science publications

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