SEMar 5, 2013

Industrial-Strength Model-Based Testing - State of the Art and Current Challenges

arXiv:1303.1006v1117 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental review paper addressing practical challenges in MBT for industry professionals, without introducing novel solutions.

The paper reviews the state of the art in model-based testing (MBT) as applied in industrial domains like avionics, railways, and automotive, describing key techniques for automated test generation and managerial factors for successful adoption, but does not report specific numerical results or new findings.

As of today, model-based testing (MBT) is considered as leading-edge technology in industry. We sketch the different MBT variants that - according to our experience - are currently applied in practice, with special emphasis on the avionic, railway and automotive domains. The key factors for successful industrial-scale application of MBT are described, both from a scientific and a managerial point of view. With respect to the former view, we describe the techniques for automated test case, test data and test procedure generation for concurrent reactive real-time systems which are considered as the most important enablers for MBT in practice. With respect to the latter view, our experience with introducing MBT approaches in testing teams are sketched. Finally, the most challenging open scientific problems whose solutions are bound to improve the acceptance and effectiveness of MBT in industry are discussed.

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