Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
The State-Based Testing of Object-Oriented Programs
ICSM '93 Proceedings of the Conference on Software Maintenance
Exploring Very Large State Spaces Using Genetic Algorithms
TACAS '02 Proceedings of the 8th International Conference on Tools and Algorithms for the Construction and Analysis of Systems
Protocol Development Success Stories: Part 1
Proceedings of the IFIP TC6/WG6.1 Twelth International Symposium on Protocol Specification, Testing and Verification XII
Design for Verification of SystemC Transaction Level Models
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Towards an efficient assertion based verification of SystemC designs
HLDVT '04 Proceedings of the High-Level Design Validation and Test Workshop, 2004. Ninth IEEE International
Graph based test case generation for TLM functional verification
Microprocessors & Microsystems
Coverage-Directed Test Generation Automated by Machine Learning -- A Review
ACM Transactions on Design Automation of Electronic Systems (TODAES)
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Recent advancement in hardware design urged using a transaction based model as a new intermediate design level. Supporters for the Transaction Level Modeling (TLM) trend claim its efficiency in terms of rapid prototyping and fast simulation in comparison to the classical RTL-based approach. Intuitively, from a verification point of view, faster simulation induces better coverage results. This is driven by two factors: coverage measurement and simulation guidance. In this paper, we propose to use an abstract model of the design, written in the Abstract State Machines Language (AsmL), in order to provide an adequate way for measuring the functional coverage. Then, we use this metric in defining the fitness function of a genetic algorithm proposed to improve the simulation efficiency. Finally, we compare our coverage and simulation results to: (1) random simulation at TLM; and (2) the Specman tool of Verisity at RTL.