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The software constitutes a major part of nowadays automation systems being responsible for conducting complex control tasks. Machines and plants are often unique in some industrial branches; hence, they become mechatronic products configured individually. The inherent software variability of those highly-configurable systems makes efficient, yet accurate quality assurance a challenging task. This article presents a comprehensive approach for applying model-based software product line testing techniques to the automation engineering domain.  Existing approaches for variability modeling are adapted to domain specific modeling languages to allow for variability-aware test case generation and execution.  The implementation of the approach is evaluated by means of a sample automation system product line.

Applying Model-based Software Product Line Testing Approaches to the Automation Engineering Domain