subject predicate object context
4699 Creator 19fae8a5f7d2e4e1a37e5eefa7a11543
4699 Creator 4343a6703bb74a32c59d641ada50d747
4699 Creator bf36d691dbc1b8c5a4fd560f3dc38c18
4699 Date 2005-09
4699 Is Part Of repository
4699 Is Part Of p10774866
4699 abstract Simulation modelling of growth trends and other empirical data from software systems can reveal the main drivers of software evolution and help improve understanding and management of the software evolution phenomenon. This article reports on the application of qualitative abstraction techniques to data from 25 open source software (OSS) systems. After justifying the use of qualitative simulation techniques for the software process domain, the article presents an analysis of the support from OSS-derived data to previously developed qualitative simulation models, which were inspired by observations from the domain of proprietary systems. The analysis involved comparison of model output and qualitatively abstracted growth trends. The analysis also involved the comparison of the transitions in trends of functional size and complexity to those predicted by the models in a sub-set of 21 systems for which complexity data was available. The results indicate that models are able to replicate some of the features in the data. This, in turn, suggests that the study of the relationship between size and complexity and its interaction via feedback loops has a role in explaining the long-term evolutionary behaviour of OSS systems. This is not surprising since it is well known that the evolution of all type of real-world software systems, proprietary and OSS, is driven by feedback from their stakeholders.
4699 authorList authors
4699 issue 3
4699 status peerReviewed
4699 volume 10
4699 type AcademicArticle
4699 type Article
4699 label Smith, Neil ; Capiluppi, Andrea and Ramil, Juan F. (2005). A Study of Open Source Evolution Data using Qualitative Simulation. Software Process: Improvement and Practice, 10(3) pp. 287–300.
4699 label Smith, Neil ; Capiluppi, Andrea and Ramil, Juan F. (2005). A Study of Open Source Evolution Data using Qualitative Simulation. Software Process: Improvement and Practice, 10(3) pp. 287–300.
4699 Title A Study of Open Source Evolution Data using Qualitative Simulation
4699 in dataset oro