The reliability of high-volume products, such as consumer electronic devices, is threatened by the combination of increasing complexity, decreasing time-to-market, and strong cost constraints. As an approach to maintain a high level of reliability and to avoid customer complaints, we present a run-time awareness concept. Part of this concept is the use of models for run-time error detection. We have implemented a general awareness framework in which an application and a model of its desired behaviour can be inserted. It allows both time-based and event-based error detection at run time. This method, coupled to local recovery techniques, aims to minimize any user exposure to product-internal technical errors, thereby improving user-perceived reliability. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Hooman, J., & Hendriks, T. (2008). Model-based run-time error detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5002 LNCS, pp. 225–236). https://doi.org/10.1007/978-3-540-69073-3_24
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