GiLA: GitHub Label Analyzer - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2015

GiLA: GitHub Label Analyzer


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.


Other [cs.OH]
Fichier principal
Vignette du fichier
saner2015-CanovasCosentinoRolandiBergelCabot.pdf (2.18 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01119396 , version 1 (23-02-2015)


  • HAL Id : hal-01119396 , version 1


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⟩
406 View
511 Download


Gmail Facebook X LinkedIn More