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AAAI 1994

Testing Physical Systems

Conference Paper Causal Reasoning Artificial Intelligence

Abstract

We present a formal theory of model-based testing, an algorithm for test generation based on it, and outline how testing is implemented by a diagnostic engine. The key to making the complex task of test generation feasible for systems with continuous domains is the use of model abstraction. Tests can be generated using manageable finite models and then mapped back to a detailed level. We state conditions for the correctness of this approach and discuss the preconditions and scope of applicability of the theory.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
253000631360043276