ROSSI, Bruno, Barbara RUSSO a Giancarlo SUCCI. Download Patterns and Releases in Open Source Software Projects: A Perfect Symbiosis?. Online. In Open Source Software: New Horizons IFIP Advances in Information and Communication Technology. Berlin Heidelberg: Springer, 2010. s. 252-267. ISBN 978-3-642-13243-8. Dostupné z: https://dx.doi.org/10.1007/978-3-642-13244-5_20. [citováno 2024-04-23]
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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 http://dx.doi.org/10.1007/978-3-642-13244-5_20
Klíčová slova anglicky Open source software projects;software releases;repository mining
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: Bruno Rossi, PhD, učo 232464. Změněno: 20. 11. 2019 10:00.
Anotace
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.
VytisknoutZobrazeno: 23. 4. 2024 13:08