Symbolic trajectory evaluation provides a means to formally verify properties of a sequential system by a modified form of symbolic simulation. The desired system properties are expressed in a notation combining Boolean expressions and the temporal logic ``next-time'' operator. In its simplest form, each property is expressed as an assertion [ A => C ], where the antecedent A expresses some assumed conditions on the system state over a bounded time period, and the consequent C expresses conditions that should result. A generalization allows simple invariants to be established and proven automatically.
The verifier operates on system models in which the state space is ordered by ``information content''. By suitable restrictions to the specification notation, we guarantee that for every trajectory formula, there is a unique weakest state trajectory that satisfies it. Therefore, we can verify an assertion [ A => C ] by simulating the system over the weakest trajectory for A and testing adherence to C. Also, establishing invariants correspond to simple fixed point calculations.
This paper presents the general theory underlying symbolic trajectory evaluation. It also illustrates the application of the theory to the task of verifying switch-level circuits as well as more abstract implementations.
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