smell_missing_links: Missing link Social Smell
In sailuh/kaiaulu: Kaiaulu
smell_missing_links R Documentation
Missing link Social Smell
Description
Given the communication and collaboration graphs (mailing lists and VCS)
return the collaboration edges that do not have a communication counterpart.
It is possible to pass precomputed organisational silo community smell. For conceptual
details please see references.
Usage
smell_missing_links(mail.graph, code.graph, precomputed.silo = NA)
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.
precomputed.silo
Optional. The return of smell_organizational_silo
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_missing_links | R Documentation |
Missing link Social Smell
Description
Given the communication and collaboration graphs (mailing lists and VCS) return the collaboration edges that do not have a communication counterpart. It is possible to pass precomputed organisational silo community smell. For conceptual details please see references.
Usage
smell_missing_links(mail.graph, code.graph, precomputed.silo = NA)
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. |
precomputed.silo |
Optional. The return of |
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
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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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