Download Patterns and Releases in Open Source Software Projects: a Perfect Symbiosis? - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Download Patterns and Releases in Open Source Software Projects: a Perfect Symbiosis?

Résumé

Software usage by end-users is one of the factors used to evaluate the success of software projects. In the context of open source software, there is no single and non-controversial measure of usage, though. Still, one of the most used and readily available measure is data about projects downloads. Nevertheless, download counts and averages do not convey as much information as the patterns in the original downloads time series. In this research, we propose a method to increase the expressiveness of mere download rates by considering download patterns against software releases. We apply experimentally our method to the most downloaded projects of SourceForge's history crawled through the FLOSSMole repository. Findings show that projects with similar usage can have indeed different levels of sensitivity to releases, revealing different behaviors of users. Future research will develop further the pattern recognition approach to automatically
Fichier principal
Vignette du fichier
OSS2010.Paper.CameraReady.Wip.pdf (621.44 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01058774 , version 1 (28-08-2014)

Licence

Paternité

Identifiants

Citer

Bruno Rossi, Barbara Russo, Giancarlo Succi. Download Patterns and Releases in Open Source Software Projects: a Perfect Symbiosis?. 6th International IFIP WG 2.13 Conference on Open Source Systems,(OSS), May 2010, Notre Dame, United States. pp.252-267, ⟨10.1007/978-3-642-13244-5_20⟩. ⟨hal-01058774⟩
230 Consultations
123 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More