Abstract
Introducing Model Driven Software Development (MDSD) into industrial projects is rarely done as a “green field” development. The usual path is to make a transition from code-centric (CC) development in existing projects into MDSD in a step-wise manner. Similarly to all other software development activities; software quality assurance needs to be adjusted to meet the new challenges arising when using models instead of the code for the mainstream development. In this chapter we present a set of empirical data on the issues related to transitioning from CC to MDSD projects in industry. First; we present results from a set of experiments evaluating how a domain specific notation affects the effectiveness and efficiency of reading techniques used for inspecting models. Second; we present a comparison of productivity increase when changing to MDSD projects from one of the large Swedish companies. Finally we present a short survey on the prioritization of products; projects; and resource metrics in MDSD projects.
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