smell_organizational_silo: Organizational Silo Social Smell
In sailuh/kaiaulu: Kaiaulu
smell_organizational_silo R Documentation
Organizational Silo Social Smell
Description
Given the communication and collaboration graphs (mailing lists and VCS)
return the collaboration edges, analyzed in groups of two devs, in
which one of co-committing devs do not communicate at all. For conceptual
details please see references.
Usage
smell_organizational_silo(mail.graph, code.graph)
Arguments
mail.graph
A uni-modal network G = (V,E), where V are
developers (authors or contributors) and E is a collaboration between developers
in the mailing list
code.graph
A uni-modal network G = (V,E), where V are
developers (authors or contributors) and E is a collaboration between developers
in the git log.
References
D. A. Tamburri, F. Palomba and R. Kazman,
"Exploring Community Smells in Open-Source: An Automated Approach"
in IEEE Transactions on Software Engineering, vol. 47, no. 3,
pp. 630-652, 1 March 2021, doi: 10.1109/TSE.2019.2901490.
Simone Magnoni (2016). An approach to measure Community
Smells in software development communities. (Doctoral dissertation, Politecnico Milano).
sailuh/kaiaulu documentation built on Dec. 10, 2024, 3:14 a.m.
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| smell_organizational_silo | R Documentation |
Organizational Silo Social Smell
Description
Given the communication and collaboration graphs (mailing lists and VCS) return the collaboration edges, analyzed in groups of two devs, in which one of co-committing devs do not communicate at all. For conceptual details please see references.
Usage
smell_organizational_silo(mail.graph, code.graph)
Arguments
mail.graph |
A uni-modal network G = (V,E), where V are developers (authors or contributors) and E is a collaboration between developers in the mailing list |
code.graph |
A uni-modal network G = (V,E), where V are developers (authors or contributors) and E is a collaboration between developers in the git log. |
References
D. A. Tamburri, F. Palomba and R. Kazman, "Exploring Community Smells in Open-Source: An Automated Approach" in IEEE Transactions on Software Engineering, vol. 47, no. 3, pp. 630-652, 1 March 2021, doi: 10.1109/TSE.2019.2901490.
Simone Magnoni (2016). An approach to measure Community Smells in software development communities. (Doctoral dissertation, Politecnico Milano).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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