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Open Source Software (OSS) project success relies on crowd contributions.When an issue arises in pull-request based systems, @-mentions are used to callon people to task; previous studies have shown that @-mentions in discussionsare associated with faster issue resolution. In most projects there may be manydevelopers who could technically handle a variety of tasks. But OSS supportsdynamic teams distributed across a wide variety of social and geographicbackgrounds, as well as levels of involvement. It is, then, important to knowwhom to call on, i.e., who can be relied or trusted with important task-relatedduties, and why.  In this paper, we sought to understand which observable socio-technicalattributes of developers can be used to build good models of them being future@-mentioned in GitHub issues and pull request discussions. We built overall andproject-specific predictive models of future @-mentions, in order to capturethe determinants of @-mentions in each of two hundred GitHub projects, and tounderstand if and how those determinants differ between projects. We found thatvisibility, expertise, and productivity are associated with an increase in@-mentions, while responsiveness is not, in the presence of a number of controlvariables. Also, we find that though project-specific differences exist, theoverall model can be used for cross-project prediction, indicating itsGitHub-wide utility.

Whom Are You Going to Call?: Determinants of @-Mentions in GitHub Discussions