Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) 2007
DOI: 10.1109/msr.2007.23
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Open Borders? Immigration in Open Source Projects

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Cited by 104 publications
(96 citation statements)
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“…Mails, CVS logs, and enhancement proposals of the Python project served as data basis. Similarly, Bird et al presented a study in which they analyzed the process by which people join open source projects [3]. Results support their hypotheses that the rate of immigration is non-monotonic, and that technical skill and social reputation has an impact on becoming a developer.…”
Section: State-of-the-art In Socio-technical Network Analysismentioning
confidence: 82%
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“…Mails, CVS logs, and enhancement proposals of the Python project served as data basis. Similarly, Bird et al presented a study in which they analyzed the process by which people join open source projects [3]. Results support their hypotheses that the rate of immigration is non-monotonic, and that technical skill and social reputation has an impact on becoming a developer.…”
Section: State-of-the-art In Socio-technical Network Analysismentioning
confidence: 82%
“…The mapping was obtained from the Eclipse Platform Core project website. 3 In total the source code of Eclipse Platform Core component consists of 17 plugins. Communication between the developers of the component takes place in the mailing list platform-core-dev.…”
Section: The Eclipse Platform Core Projectmentioning
confidence: 99%
“…Bird et al quantitatively modeled the relationship between time spent with the project and the probability of becoming a developer; their model used patch activities, social network attributes, and the time to first commit from the time of first communication on an email network [3]. Using proportional hazard rate modeling they observed that a developer's tenure is related to his skill and commitment as measured by his participation in the email network and his contribution of patches prior to first commit.…”
Section: Related Workmentioning
confidence: 99%
“…Previous work in this area has used survival modeling to model the trajectory over time of developer initiation [3]. In this work we are focused on early detection of developer initiation which limits the amount of data available to model the trajectory.…”
Section: B Modeling Developer Initiationmentioning
confidence: 99%
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