An approach is presented in which both simulation and testing based on UML are combined in one framework to achieve an improved overall quality. System models are specified by UML diagrams, and are then mapped on C++-code and executed in the OMNeT++ network simulation framework. Statespace oriented test models are defined independently from this to express requirements by selected system usages. From these test models it is possible to generate test cases and to execute them on the simulation code level. By adding Markov chain usage profiles to the test model it is possible to apply statistical test case generation as well. Altogether this allows to validate both kinds of models systematically and iteratively during the development cycle. The methodology is realized by combining appropriate tools and new software components based on the Eclipse RCP. The approach is also well suited for software engineering because standard modeling languages are used.

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Abstract-Software evolution, and particularly its growth, has been mainly studied at the file (also sometimes referred as module) level. In this paper we propose to move from the physical towards a level that includes semantic information by using functions or methods for measuring the evolution of a software system. We point out that use of functionsbased metrics has many advantages over the use of files or lines of code. We demonstrate our approach with an empirical study of two Free/Open Source projects: a community-driven project, Apache, and a company-led project, Novell Evolution. We discovered that most functions never change; when they do their number of modifications is correlated with their size, and that very few authors who modify each; finally we show that the departure of a developer from a software project slows the evolution of the functions that she authored.