%0 Conference Paper %B 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories %D 2009 %T Visualizing Gnome with the Small Project Observatory %A Lungu, Mircea %A Malnati, Jacopo %A Lanza, Michele %K bugzilla %K contributions %K gnome %K msr challenge %K spo %K visualization %X We analyzed the gnome family of systems with the small project observatory, our online ecosystem visualization platform. We begin by briefly introducing the model of SPO. We then observe and discuss several phases in the activity of the gnome ecosystem. We follow and look at how the contributors are distributed between writing source code and doing other activities such as internationalization. We end with a visual overview of the activity of more than 900 contributors in the 10 years of existence of gnome. %B 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories %I IEEE %C Vancouver, BC, Canada %P 103 - 106 %@ 978-1-4244-3493-0 %R 10.1109/MSR.2009.5069487 %> https://flosshub.org/sites/flosshub.org/files/103Lung2009a.pdf %0 Conference Paper %B Proceedings of the 2006 international workshop on Mining software repositories %D 2006 %T The evolution radar: visualizing integrated logical coupling information %A D'Ambros, Marco %A Lanza, Michele %A Lungu, Mircea %K change management %K cvs %K evolution %K logical coupling %K mozilla %K scm %K source code %K thunderbird %K tinderbox %K visualization %X In software evolution research logical coupling has extensively been used to recover the hidden dependencies between source code artifacts. They would otherwise go lost because of the file-based nature of current versioning systems. Previous research has dealt with low-level couplings between files, leading to an explosion of data to be analyzed, or has abstracted the logical couplings to module level, leading to a loss of detailed information. In this paper we propose a visualization-based approach which integrates both file-level and module-level logical coupling information. This not only facilitates an in-depth analysis of the logical couplings at all granularity levels, it also leads to a precise characterization of the system modules in terms of their logical coupling dependencies. %B Proceedings of the 2006 international workshop on Mining software repositories %S MSR '06 %I ACM %C New York, NY, USA %P 26–32 %@ 1-59593-397-2 %U http://doi.acm.org/10.1145/1137983.1137992 %R http://doi.acm.org/10.1145/1137983.1137992 %> https://flosshub.org/sites/flosshub.org/files/26TheEvolutionRadar.pdf