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Model-Based Testing for Embedded Systems
book

Model-Based Testing for Embedded Systems

by Justyna Zander, Ina Schieferdecker, Pieter J. Mosterman
December 2017
Intermediate to advanced
688 pages
26h 53m
English
CRC Press
Content preview from Model-Based Testing for Embedded Systems
Automated Statistical Testing for Embedded Systems 131
programming methods can be used to design testing to minimize the potential of eco-
nomic loss from field failure (Sherer 1996).
Economic stopping criteria. Mathematically optimal rules have been developed for sup-
porting decisions to stop testing, based on the known cost of continued testing versus
the expected cost of failure in the field (Dalal and Mallows 1988). Quantitative analysis
of the usage model can assist in assessing the cost of continued testing and the risk of
failure in the field.
5.4.4 Controlling special test situations
Application of statistical science includes creating special, nonrandom test cases. Such test-
ing can remove uncertainty about how the system will perform in specific ...
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Publisher Resources

ISBN: 9781439818473