2016
DOI: 10.1007/s10664-016-9463-3
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Tracing distributed collaborative development in apache software foundation projects

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Cited by 7 publications
(4 citation statements)
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“…Still, we point out that this finding about the number of members involved in recurring collaborations is in line with previous work that also found pairwise collaborations to be extremely more prevalent in the FAWM music community [19,52]. Also, similar findings have been reported in [20] and [57] concerning the size of putative sub-teams of developers in the Apache OSS ecosystem. As for the second point, we speculate that the preference for working with fellow authors sharing the same level of expertise is because recurring collaborations are not a means for experienced musicians to teach newbies but rather a way to help each other and keep growing together.…”
Section: Recurring Collaborationssupporting
confidence: 92%
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“…Still, we point out that this finding about the number of members involved in recurring collaborations is in line with previous work that also found pairwise collaborations to be extremely more prevalent in the FAWM music community [19,52]. Also, similar findings have been reported in [20] and [57] concerning the size of putative sub-teams of developers in the Apache OSS ecosystem. As for the second point, we speculate that the preference for working with fellow authors sharing the same level of expertise is because recurring collaborations are not a means for experienced musicians to teach newbies but rather a way to help each other and keep growing together.…”
Section: Recurring Collaborationssupporting
confidence: 92%
“…However, our focus here is not on investigating established teams but rather on groups of individuals who spontaneously get together and collaborate recurrently, acting de facto as a team. Xuan and Filkov [57] and Gharehyazie and Filkov [20] investigated synchronous group codevelopment within the Apache software ecosystem. They identified the presence of putative collaborative groups (CoG) of developers who act like teams since they tend to work together in code proximity (i.e., modify the same source files) and time proximity (i.e., around the same time).…”
Section: Recurring Collaborationsmentioning
confidence: 99%
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“…The authors of the original study enhanced their work by identifying patterns on the time series of working activity in terms of source-code commits and communication activity in terms of replying to e-mails on the mailing list for developer pairs, which indicate that collaboration on source-code artifacts and coordinating events on the mailing list are temporally related (Xuan et al 2016). Gharehyazie and Filkov (2017) extended the original study by not investigating pairs of developers but groups of developers working on the same source-code artifacts temporally close-by. In their work, they analyzed whether the size of such groups is purely random and how often developers work in groups rather than working alone.…”
Section: Related Workmentioning
confidence: 99%