There are two approaches for formal verification of sequential designs or finite state machines: language containment checking and symbolic model checking. To verify designs of practical size, in these two approaches, designs are represented symbolically, in practice, by ordered binary decision diagrams. In the conventional algorithm for language containment checking, finite automata given as specifications are also represented symbolically. This paper proposes a new method, called partially explicit method for checking language containment. By representing states of finite automata given as specifications explicitly, this method can remove redundant computations, and as a result, provide better performance than the conventional method which uses the product machines of designs and specifications. The experimental results show that this approach is effective in checking language containment symbolically.

The class NQP was proposed as the class of problems that are solvable by non-deterministic quantum Turing machines in polynomial time. In this paper, we introduce non-deterministic quantum finite automata in which the same non-determinism as in non-deterministic quantum Turing machines is applied. We compare non-deterministic quantum finite automata with the classical counterparts, and show that (unlike the case of classical finite automata) the class of languages recognizable by non-deterministic quantum finite automata properly contains the class of all regular languages.

Minato has proposed canonical representation for polynomial functions using zero-suppressed binary decision diagrams (ZBDDs). In this paper, we extend binary moment diagrams (BMDs) proposed by Bryant and Chen to handle variables with degrees higher than l. The experimental results show that this approach is much more efficient than the previous ZBDDs' approach. The proposed approach is expected to be useful for various problems, in particular, for computer algebra.

An ordered binary decision diagram (OBDD) is a directed acyclic graph for representing a Boolean function. OBDDs are widely used in various areas which require Boolean function manipulation, since they can represent efficiently many practical Boolean functions and have other desirable properties. However, there is very little theoretical research on the complexity of constructing an OBDD. In this paper, we prove that the optimal variable ordering problem of a shared BDD is NP-complete, and briefly discuss the approximation hardness of this problem and related OBDD problems.

This paper deals with formal verification of high-level designs, in particular, symbolic comparison of register-transfer-level descriptions and behavioral descriptions. We use state machines extended by quantifier-free first-order logic with equality, as models of those descriptions. We cannot adopt the classical notion of equivalence for state machines, because the signals in the corresponding outputs of such two descriptions do not change in the same way. This paper defines a new notion of consistency based on signal-transitions of the corresponding outputs, and proposes an algorithm for checking consistency of those descriptions, up to a limited number of steps from initial states. As an example of high-level designs, we take a simple hardware/software codesign. A C program for digital signal processing called PARCOR filter was compared with its corresponding design given as a register-transfer-level description, which is composed of a VLIW architecture and assembly code. Since this example terminates within approximately 4500 steps, symbolic exploration of a finite number of steps is sufficient to verify the descriptions. Our prototype verifier succeeded in the verification of this example in 31 minutes.

A binary moment diagram, which was proposed for arithmetic circuit verification, is a directed acyclic graph representing a function from binary-vectors to integers (f : {0,1}n Z). A multiplicative binary moment diagram is an extension of a binary moment diagram with edge weights attached. A multiplicative binary moment diagram can represent addition, multiplication and many other functions with polynomial numbers of vertices. Lower bounds for division, however, had not been investigated. In this paper, we show an exponential lower bound on the number of vertices of a multiplicative binary moment diagram representing a quotient function or a remainder function.

This letter handles symbolic simulation for high-level hardware design descriptions including uninterpreted functions. Two new heuristics are introduced, which are named "symbolic function table" and "synchronization". In the experiment, the equivalence of a hardware/software codesign was checked up to a given finite number of cycles, which is composed of a behavioral design, that is, a small DSP program written in C, and its register-transfer-level implementation, a VLIW architecture with an assembly program. Our symbolic simulator succeeded in checking the equivalence of the two descriptions which were not tractable without the heuristics.

Verification of logic designs has been a long-standing bottleneck in the process of hardware design, where its automation and improvement of efficiency has demanding needs. Mainly simulation-based verification has been used for this purpose, and recently, coverage-driven verification has been widely used, of which target is improvement of some metric called coverage. Our target is the metric called toggle coverage. To find input patterns which cause some toggles on each signal, a SAT solver could be used, but this is computationally costly. In this paper, we study the effect of combination of random simulation and usage of a SAT solver. In particular, we use a SAT solver which can find multiple “diverse” solutions. With this solver, we can avoid generating similar patterns, which are unlikely to improve coverage. The experimental results show that, a small number of calls of a SAT solver can improve entire toggle coverage effectively, compared with simple random simulation.

Simulation-based verification of hardware designs, in particular, register-transfer-level (RTL) designs, has been widely used, and has been one of the major bottlenecks in design processes. One of the approaches is coverage-driven verification, of its target is improvement of some metric called coverage. In a prior work of ours, we have proposed a coverage-driven verification using both randomly generated simulation patterns and patterns generated by a SAT (satisfiability) solver, and have shown its effectiveness. In this paper, we extend this approach with an SMT (satisfiability modulo theory) solver, which can handle arithmetic relations among integer, floating-point or bit-vector variables. Experimental results show that the more arithmetic modules are included, the more an SMT-based method gets superior to the method using only a SAT solver.

For formal verification of large-scale digital circuits, a method using satisfiability checking of logic with equality and uninterpreted functions has been proposed. This logic, however, does not consider specific properties of functions or predicates at all, e.g. associative property of addition. In order to ease this problem, we introduce "equivalence constraint" that is a set of formulas representing the properties of functions and predicates, and check the satisfiability of formulas under the constraint. In this report, we show an algorithm for checking satisfiability with equivalence constraint and also experimental results.

One important question for quantum computing is whether a computational gap exists between models that are allowed to use quantum effects and models that are not. Several types of quantum computation models have been proposed, including quantum finite automata and quantum pushdown automata (with a quantum pushdown stack). It has been shown that some quantum computation models are more powerful than their classical counterparts and others are not since quantum computation models are required to obey such restrictions as reversible state transitions. In this paper, we investigate the power of quantum pushdown automata whose stacks are assumed to be implemented as classical devices, and show that they are strictly more powerful than their classical counterparts under the perfect-soundness condition, where perfect-soundness means that an automaton never accepts a word that is not in the language. That is, we show that our model can simulate any probabilistic pushdown automata and also show that there is a non-context-free language which quantum pushdown automata with classical stack operations can recognize with perfect soundness.

Full scan design of sequential circuits results in greatly reducing the cost of their test generation. However, it introduces the extra expense of many test clocks to control and observe the values of flip-flops because of the need to shift values for the flip-flops into the scan panh. In this paper we propose a new method of generating compact test sequences for scan-based sequential circuits on the assumption that the number of shift clocks is allowed to vary for each test vector. The method is based on Boolean function manipulation using a shared binary decision diagram (SBDD). Although the test generation algorithm is basically for general sequential circuits, the computational cost is much lower for scan-based sequential circuits than for non-scanbased sequential circuits because the length of a test sequence for each fault is limited. Experimental results show that, for all the tested circuits, test sequences generated by the method require much smaller number of test clocks than compact or minimum test sets for combinational logic part of scan-based sequential circuits. The reduction rate was 48% on the average in the experiments.

Recently, Burch et al. proposed symbolic model checking method to verify sequential machines formally. The method, which is based on logic function manipulation using binary decision diagram, can handle large sequential machines that cannot be handled by the conventional techniques. The expressive power of Computational Tree Logic (CTL), which was used by Burch et al., is not very powerful, for example, CTL cannot describe repetition of events. This papers shows an extension of the symbolic model checking algorithm to Branching time regular temporal logic (BRTL), which has been proposed by the authors as an improvement of CTL in terms of expressive power. The implemented verifier based on the proposed algorithm could verify behaviors of a microprocessor composed of approximately 1,600 gates and 68 flipflops.