Testing of Communicating Systems 1997
DOI: 10.1007/978-0-387-35198-8_17
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Fault detection in embedded components

Abstract: We address in this paper the problem of detecting faults located in a given component embedded within a composite system. The system is represented as two communicating FSMs, a component FSM inaccessible for testing and a context machine that models the remaining part of the system which is assumed to be correctly implemented. We elaborate a systematic approach for deriving external tests which can detect all predefined types of faults in the embedded component. .The approach. is based on the construction a pr… Show more

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Cited by 16 publications
(26 citation statements)
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“…The problem of translating InTest is to determine an external test (if it exists) with the same fault detection power, i.e., to determine an external test case that detects each IOTS MAX || Context || Imp, where Imp ∈ ℑ InTest (Emb). The problem is called the test translation or the fault propagation problem [2,7].…”
Section: Problem Definitionmentioning
confidence: 99%
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“…The problem of translating InTest is to determine an external test (if it exists) with the same fault detection power, i.e., to determine an external test case that detects each IOTS MAX || Context || Imp, where Imp ∈ ℑ InTest (Emb). The problem is called the test translation or the fault propagation problem [2,7].…”
Section: Problem Definitionmentioning
confidence: 99%
“…A number of test derivation methods have been proposed for testing in context [5,6,7,9,10] when the system components are modeled as Finite State Machines (FSMs). Some of these methods derive test suites with the guaranteed fault coverage directly from the embedded component [7,9,10].…”
Section: Introductionmentioning
confidence: 99%
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“…On the other hand, the purpose of testing can be to test only some system components in order to avoid the redundant testing of other parts of the system. In this case, we are concerned with embedded testing or testing in context [24,26,28,30,29,23,13].…”
Section: Embedding Testingmentioning
confidence: 99%