D 2010

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

ROSSI, Bruno, Barbara RUSSO a Giancarlo SUCCI

Základní údaje

Originální název

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

Autoři

ROSSI, Bruno, Barbara RUSSO a Giancarlo SUCCI

Vydání

Berlin Heidelberg, Open Source Software: New Horizons IFIP Advances in Information and Communication Technology, od s. 252-267, 16 s. 2010

Nakladatel

Springer

Další údaje

Typ výsledku

Stať ve sborníku

Utajení

není předmětem státního či obchodního tajemství

ISBN

978-3-642-13243-8

DOI

Klíčová slova anglicky

Open source software projects;software releases;repository mining

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 20. 11. 2019 10:00, Bruno Rossi, PhD

Anotace

V originále

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 categorize open source projects according to their download patterns.