The classification of software systems into types has been achieved in the past by observing both their specifications and behavioral patterns: the SPE classification, for instance, and its further supplements and refinements, has identified the S-type (i.e., fully specified), the P-type (i.e., specified but dependent on the context) and the E-type (i.e., addressing evolving problems) among the software systems. In order to detect types, and establish similarities, among Free/Libre/Open Source Software (FLOSS) systems, this paper considers three modular characteristics (functions, files and folders) and their evolution: how they are evolving with size, if they are constant across systems, and whether recurring evolutionary patterns are observed. Using these various-grained characteristics, a set of models for the evolution of modularization are extracted from evolving systems, and then used to extract similarities and types from a wide sample of FLOSS projects. This paper provides three contributions: first, it shows that several models are needed to encompass the variety of modularization patterns; second, it provides three types of models (uni-variate, bi-variate and tri-variate) for the evolution of modularization, with significant goodness-of-fit’s. Finally, it shows that two of these patterns alone can interpolate the modular characteristics of the vast majority of a random choice of FLOSS projects.
CITATION STYLE
Capiluppi, A. (2009). Domain drivers in the modularization of FLOSS systems. In IFIP Advances in Information and Communication Technology (Vol. 299, pp. 3–19). Springer New York LLC. https://doi.org/10.1007/978-3-642-02032-2_3
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