Software engineering metrics and models
Software engineering metrics and models
Software Engineering Economics
Software Engineering Economics
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Two case studies of open source software development: Apache and Mozilla
ACM Transactions on Software Engineering and Methodology (TOSEM)
Identifying Reasons for Software Changes Using Historic Databases
ICSM '00 Proceedings of the International Conference on Software Maintenance (ICSM'00)
Evolution in Open Source Software: A Case Study
ICSM '00 Proceedings of the International Conference on Software Maintenance (ICSM'00)
An Empirical Study of Fine-Grained Software Modifications
ICSM '04 Proceedings of the 20th IEEE International Conference on Software Maintenance
The processes of joining in global distributed software projects
Proceedings of the 2006 international workshop on Global software development for the practitioner
Measuring developer contribution from software repository data
Proceedings of the 2008 international working conference on Mining software repositories
Advances in Software Engineering - Special issue on new generation of software metrics
It's not a bug, it's a feature: how misclassification impacts bug prediction
Proceedings of the 2013 International Conference on Software Engineering
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During the latest years libre (free, open source) software has gained a lot of attention from the industry. Following this interest, the research community is also studying it. For instance, many teams are performing quantitative analysis on the large quantity of data which is publicly available from the development repositories maintained by libre software projects. However, not much of this research is focused on cost or effort estimations, despite its importance (for instance, for companies developing libre software or collaborating with libre software projects), and the availability of some data which could be useful for this purpose. Our position is that classical effort estimation models can be improved from the study of these data, at least when applied to libre software. In this paper, we focus on the characterization of developer activity, which we argue can improve effort estimation. This activity can be traced with a lot of detail, and the resulting data can also be used for validation of any effort estimation model.