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Test minimization for human-computer interaction

delete2006-11-11
delete19
PRE
AI
F
Fevzi Belli
C
Christof J. Budnik *
DOI：10.1007/s10489-006-0008-0delete
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Abstract

Abstract

En 中文
This paper introduces a model-based approach for minimization of test sets to validate the interaction of human-computer systems. The novelty of the approach is twofold: (i) Test cases generated and selected holistically cover both the behavioral model and the complementary, fault model of the system under test (SUT). (ii) Methods known from state-based conformance testing and graph theory are extended to construct efficient, heuristic search-based algorithms for minimizing the test sets that are constructed in step (i), considering also structural features. Experience shows that the approach can help to considerably save test costs, up to 60%.
Keywords:
fault diagnosis
model-based reasoning and testing
test generation/test selection
Chinese postman problem
event sequence graph
test coverage
minimal spanning set

Journal

Applied Intelligence cover
Applied Intelligence
IF:
3.5
Papers:
7.5K
Citations:
1.7W

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No organization information available