High quality behavioral verification using statistical stopping criteria
Proceedings of the conference on Design, automation and test in Europe
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
High Assurance Software Testing In Business And DOD
Journal of Integrated Design & Process Science
Model Driven Testing Based on Test History
Transactions on Petri Nets and Other Models of Concurrency I
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Testing behavioral models before they are released to the synthesis and logic design phase is a tedious process, to say the least. A common practice is the "test-it-to-death" approach in which millions or even billions of vectors are applied and the results are checked for possible bugs. The vectors applied to behavioral models include functional vectors, but the significant amount of the vectors are random in nature, including random combinations of instructions. In this paper, we present and evaluate a stopping rule that can be used to determine when to stop the current testing phase using a given testing technique, and move on to the next phase using a different testing technique. We demonstrate the use of the stopping rule on two complex VHDL models that were tested for branch coverage with 4 different testing phases. We compare savings and quality of testing both with and without using the stopping rule.