Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Assessing developer contribution with repository mining-based metrics|
|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|
|Series/Report no.:||Proceedings-IEEE International Conference on Software Maintenance|
|Conference Name:||International Conference on Software Maintenance and Evolution (ICSME) (29 Sep 2015 - 01 Oct 2015 : Bremen, Germany)|
|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|
|Appears in Collections:||Computer Science publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.