2010 Third International Conference on Software Testing, Verification, and Validation Workshops 2010
DOI: 10.1109/icstw.2010.29
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Deriving Exhaustive Test Suits for Nondeterministic FSMs w.r.t. Non-separability Relation

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Cited by 2 publications
(6 citation statements)
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“…Like in work [7] devoted to the test suite derivation methods w.r.t. non separability relation for classical nondeterministic FSMs, in this work, we consider the traditional fault model, namely, the triple , where A is a specification TFSM, ~ is the non separa bility relation, and the fault domain ᑬ specifies all possible faults.…”
Section: Construction Of Test Suite For Tfsms With Respect To Non Sepmentioning
confidence: 99%
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“…Like in work [7] devoted to the test suite derivation methods w.r.t. non separability relation for classical nondeterministic FSMs, in this work, we consider the traditional fault model, namely, the triple , where A is a specification TFSM, ~ is the non separa bility relation, and the fault domain ᑬ specifies all possible faults.…”
Section: Construction Of Test Suite For Tfsms With Respect To Non Sepmentioning
confidence: 99%
“…A test sequence is a By analogy with work [7], in this paper, we propose an algorithm for constructing an exhaustive test suite with the respect to the fault model 〈A, ~, Sub nd (MM)〉. For TFSMs, the modification of the algorithm pro posed in [7] consists in supplementing the truncated successor tree with branches marked by time outs, like 3: Until one of the following rules of the successor tree truncation is satisfied for each set Q kj ∈ Q k , j ≥ 0: 4: Rule 1: there exists an input symbol i sep such that, for each state q, ∈ Q kj , transition from q by the input symbol i sep is not determined; 7: Rule 2: there exists Q am ∈ Q a , a < k, such that Q kj ⊇ Q am ; 8: Rule 3: |Q kj | = 1 and the sequence that marks a path in the tree from the root to this node does not mark any other path in the tree; 9: Do: 10:…”
Section: Construction Of Test Suite For Tfsms With Respect To Non Sepmentioning
confidence: 99%
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