Principles of artificial intelligence
Principles of artificial intelligence
Testability measures: a review
Computer Systems Science and Engineering
System Test and Diagnosis
Testability Measurements for Data Flow Designs
METRICS '97 Proceedings of the 4th International Symposium on Software Metrics
Test Pattern Generator Design Optimization Based on Genetic Algorithm
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Genetic algorithm for test pattern generator design
Applied Intelligence
Deterministic test pattern generator design
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
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In this paper we explore two alternative approaches to system diagnosis. The first strategy is based on testability analysis performed by SATAN tool. The second approach performed by the Sequential Diagnosis Tool (SDT) generates solutions with minimum average cost of the diagnostic tree. The application of either approach in practice depends on the goals, constraints and the available system test data. The SATAN approach is suitable for the cases where the system structure (i.e., interconnection of its functional parts) is given, while in the second approach the probabilities of faulty states and the test matrix implicitly describe the functionality of the diagnosed system.