Title
A fault-detection approach to the conformance testing of nondeterministic systems
Abstract
The classical fault-detection approach to conformance testing for deterministic systems is based on state identification by means of diagnosis sequences. This paper extends this approach to set identification for nondeterministic systems in which an action may reach more than one state. It presents a new scheme for testing and deriving diagnosis sequences in terms of both specified and unspecified actions of a nondeterministic labeled transition system. New definitions and derivation methods for generalized unique input/output sequences and distinguishing sequences for set identification are proposed. The methods preserve failure equivalence and require minimization of the set space with respect to set-observational equivalence.
Year
DOI
Venue
1995
10.1006/jpdc.1995.1091
J. Parallel Distrib. Comput.
Keywords
Field
DocType
conformance testing,nondeterministic system,fault-detection approach,fault detection,input output
Nondeterministic algorithm,Computer science,Fault detection and isolation,Algorithm,Input/output,Conformance testing,Equivalence (measure theory),Deterministic system,System identification,Deterministic system (philosophy)
Journal
Volume
Issue
ISSN
28
1
Journal of Parallel and Distributed Computing
Citations 
PageRank 
References 
4
0.53
7
Authors
2
Name
Order
Citations
PageRank
To-Yat Cheung149869.82
Xinming Ye25211.62