SMArDT modeling for automotive software testing
Imke Drave, Steffen Hillemacher, Timo Greifenberg, Stefan Kriebel, Evgeny Kusmenko, Matthias Markthaler, Philipp Orth, Karin Samira Salman, Johannes Richenhagen, Bernhard Rumpe⋆, Christoph Schulze, Michael von Wenckstern, Andreas Wortmann · Software Practice and Experience · 2018
Summary Efficient testing is a crucial prerequisite to engineer reliable automotive software successfully. However, manually deriving test cases from ambiguous textual requirements is costly and error‐prone. Model‐based software engineering captures requirements in structured, comprehensible, and formal models, which enables early consistency checking and verification. Moreover, these models serve as an indispensable basis for automated test case derivation. To facilitate automated test case derivation for automotive software engineering, we conducted a survey with testing experts of the BMW Group and conceived a method to extend the BMW Group's specification method for requirements, design, and test methodology by model‐based test case derivation. Our method is realized for a variant of systems modeling language activity diagrams tailored toward testing automotive software and a model transformation to derive executable test cases. Hereby, we can address many of the surveyed practitioners' challenges and ultimately facilitate quality assurance for automotive software.