Collecting data from distributed FOSS projects

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Pysyväisosoite

http://hdl.handle.net/10138/24063

Lähdeviite

Fagerholm , F & Taina , J 2008 , Collecting data from distributed FOSS projects . in Proceedings of the Workshop on Public Data about Software Development 2008 : The 4th International Conference on Open Source Systems . pp. 5-11 , Workshop on Public Data about Software Development , Milan , Italy , 10/09/2008 .

Julkaisun nimi: Collecting data from distributed FOSS projects
Tekijä: Fagerholm, Fabian; Taina, Juha
Muu tekijä: University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
Päiväys: 2008
Kieli: eng
Sivumäärä: 7
Kuuluu julkaisusarjaan: Proceedings of the Workshop on Public Data about Software Development 2008 The 4th International Conference on Open Source Systems
URI: http://hdl.handle.net/10138/24063
Tiivistelmä: A key trait of Free and Open Source Software (FOSS) development is its distributed nature. Nevertheless, two project-level operations, the fork and the merge of program code, are among the least well understood events in the lifespan of a FOSS project. Some projects have explicitly adopted these operations as the primary means of concurrent development. In this study, we examine the effect of highly distributed software development, is found in the Linux kernel project, on collection and modelling of software development data. We find that distributed development calls for sophisticated temporal modelling techniques where several versions of the source code tree can exist at once. Attention must be turned towards the methods of quality assurance and peer review that projects employ to manage these parallel source trees. Our analysis indicates that two new metrics, fork rate and merge rate, could be useful for determining the role of distributed version control systems in FOSS projects. The study presents a preliminary data set consisting of version control and mailing list data.
Avainsanat: 113 Computer and information sciences
software engineering: metrics
software engineering: management
software configuration management
information systems applications
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