Functional verification of microprocessors is one of the most complex and expensive tasks in the current system-on-chip design methodology. Simulation using functional test vectors is the most widely used form of processor validation. A significant bottleneck in the validation of such systems is the lack of automated techniques for directed test generation. While existing model checking-based approaches have proposed several promising ideas for automated test generation, many challenges remain in applying them to industrial microprocessors. The time and resources required for test generation using existing model checking-based techniques can be prohibitively large. This article presents an efficient test generation technique using decompositional model checking. The contribution of the article is the development of both property and design decomposition procedures for efficient test generation of pipelined processors. Our experimental results using a multi-issue MIPS processor and an industrial processor based on Power Architecture TM Technology demonstrate several orders-of-magnitude reduction in validation effort by drastically reducing both test generation time and test program length.
ACM Reference Format:Koo, H-M. and Mishra, P. 2009. Functional test generation using design and property decomposition techniques.
Functional validation is a major bottleneck in microprocessor design methodology. Simulation is the widely used method for functional validation using billions of random and biased-random test programs. Although directed tests require a smaller test set compared to random tests to achieve the same functional coverage goal, there is a lack of automated techniques for directed test generation. Furthermore, the number of directed tests can still be prohibitively large. This paper presents a methodology for specification-based coverage analysis and test generation. The primary contribution of this paper is a compaction technique that can drastically reduce the required number of directed test programs to achieve a coverage goal. Our experimental results using a MIPS processor and an industrial processor (e500) demonstrate more than 90% reduction in number of directed tests without sacrificing the functional coverage goal.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.