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Model-driven engineering (MDE) refers to a range of approaches where models play a core role in software development. Modeling promotes reasoning at a higher level of abstraction, therefore reducing complexity of software development, while hiding the unnecessary low level details at appropriate stages, and promoting communication among the several stakeholders in the development process. MDE initiatives make claims of increased quality and productivity by separating business and application logic from underlying platform technology, transforming models to other models and automating code generation. However, while quality assurance is a well-known topic in traditional software engineering, less is known on how to assess quality across the MDE lifecycle. We should understand not only how to measure the quality of the MDE process (and determine whether it is better than other approaches), but also understand the quality of the models themselves (determining metrics for the quality of both models and metamodels, design patterns and antipatterns). This special issue aimed at being the proper place to share mature research, ground-breaking ideas and experience reports in QMDE. From 26 submissions, which shows the interest in the topic, and after a strict peer-review process involving at least 3 reviewers per paper (and 5 or 6 different ones in some), 7 were finally selected. The presented contributions range from topics related to the MDD process starting with the quality of requirements, to the model evolution and reuse process, passing by the concern with languages quality (concrete vs. graphical, complexity of developed DSLs, DSL environments for agents), talking about quality in model transformations, and finishing with aspects related to the semantics and time concerns in the behavior models.

Special issue on quality in model-driven engineering