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Conference papers

GiLA: GitHub Label Analyzer

Javier Luis Cánovas Izquierdo 1, 2 Valerio Cosentino 1, 2 Belén Rolandi 2, 1 Alexandre Bergel 3 Jordi Cabot 1, 2
1 ATLANMOD - Modeling Technologies for Software Production, Operation, and Evolution
LINA - Laboratoire d'Informatique de Nantes Atlantique, Département informatique - EMN, Inria Rennes – Bretagne Atlantique
Abstract : Reporting bugs, asking for new features and in general giving any kind of feedback is a common way to contribute to an Open-Source Software (OSS) project. In GitHub, the largest code hosting service for OSS, this feedback is typically expressed as new issues for the project managed by an issue-tracking system available in each new project repository. Among other features, the issue tracker allows creating and assigning labels to issues with the goal of helping the project community to better classify and manage those issues (e.g., facilitating the identification of issues for top priority components or candidate developers that could solve them). Nevertheless, as the project grows a manual browsing of the project issues is no longer feasible. In this paper we present GiLA, a tool which generates a set of visualizations to facilitate the analysis of issues in a project depending on their label-based categorization. We believe our visualizations are useful to see the most popular labels (and their relationships) in a project, identify the most active community members for those labels and compare the typical issue evolution for each label category.
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https://hal.inria.fr/hal-01119396
Contributor : Javier Canovas <>
Submitted on : Monday, February 23, 2015 - 10:29:06 AM
Last modification on : Wednesday, May 6, 2020 - 8:18:02 PM
Long-term archiving on: : Wednesday, May 27, 2015 - 9:35:59 AM

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Javier Luis Cánovas Izquierdo, Valerio Cosentino, Belén Rolandi, Alexandre Bergel, Jordi Cabot. GiLA: GitHub Label Analyzer. International Conference on Software Analysis, Evolution and Reenginering (SANER), Mar 2015, Montreal, Canada. ⟨hal-01119396⟩

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