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OneSpin IPC Verification Tool

Tool WIKI v1 · 5/29/2026

The OneSpin IPC Verification Tool is associated with a commercial Interval Property Checking (IPC) verification environment used for formal hardware verification. In the cited ISS-generation work, an IPC-based environment with integrated completeness analysis was used to check that a processor property suite was correct and complete before generating an instruction set simulator from it.

Overview

The OneSpin IPC Verification Tool is a formal verification tool associated with Interval Property Checking (IPC). In the available evidence, IPC is described as a SAT-based formal verification methodology used to check whether a hardware design satisfies a set of properties written in a dedicated verification language. The same source states that completeness analysis integrated within an IPC verification environment was commercially available.

Verification method

IPC is presented as a technique related to Bounded Model Checking, but focused on safety properties. Instead of starting only from an initial state, IPC uses an arbitrary starting state; if a property holds from an arbitrary state, it also holds from any reachable state, giving exhaustive verification for that property. The evidence also notes that false negatives can occur when counterexamples originate from unreachable states, and that invariants may be added to restrict the starting state.

The properties in the cited work are written in ITL, a language in which temporal logic expressions describe the behavior of a synchronous sequential system, with discrete time steps corresponding to clock cycles.

Completeness analysis

The tool environment is associated with completeness analysis. In the cited methodology, completeness analysis determines whether every possible input scenario, corresponding to a design transaction sequence, can be covered by a chain of properties that predicts states and outputs at every point in time. The source states that any two designs satisfying all properties of a complete property suite are formally equivalent.

The completeness check is described as ensuring, at the end state of each property, that:

  • there is always a successor property with matching assumptions;
  • the successor property is uniquely determined; and
  • each property uniquely describes the outputs and states of the design under verification.

Use in ISS generation research

The paper Generating an Efficient Instruction Set Simulator from a Complete Property Suite uses IPC and completeness analysis in the context of deriving an instruction set simulator (ISS) from a complete property suite. The paper argues that an ISS derived from the ISA used for formal verification can avoid discrepancies between the simulator and the hardware design. It reports that a processor property suite and its completeness were successfully checked against the processor design using the referenced commercial IPC environment, making the property suite a correct and complete specification for the purposes of the experiment.

The same work reports generated simulator performance of 7.0 MIPS for a simple processor design and 1.2 MIPS for an industrial design, compared with 14.0 MIPS and 2.5 MIPS respectively for custom just-in-time compiled simulators. The authors characterize the generated ISS performance as comparable to modern custom instruction-set simulators, while noting that custom JIT simulators remained faster because of tool optimizations and because properties may include hardware and pipeline effects not present in a high-level ISA description.

CITATIONS

7 sources
7 citations
[1] IPC is a technique similar to Bounded Model Checking and is used to check whether a design satisfies a set of properties written in a dedicated verification language. Generating an Efficient Instruction Set Simulator from a Complete Property Suite
[2] IPC verifies safety properties from arbitrary starting states and may require invariants to remove false negatives from unreachable states. Generating an Efficient Instruction Set Simulator from a Complete Property Suite
[3] Completeness analysis integrated within an IPC verification environment was commercially available and checks whether every possible input scenario can be covered by a chain of properties predicting states and outputs. Generating an Efficient Instruction Set Simulator from a Complete Property Suite
[4] Completeness analysis checks successor-property existence, uniqueness, and unique description of outputs and states; any two designs satisfying a complete property suite are formally equivalent. Generating an Efficient Instruction Set Simulator from a Complete Property Suite
[5] The cited work proposes automatically generating an instruction set simulator from a complete property suite used for formal processor verification. Generating an Efficient Instruction Set Simulator from a Complete Property Suite
[6] A processor property suite and its completeness were successfully checked against the design using the referenced commercial environment, and the generated ISS reached 7.0 MIPS for a simple processor and 1.2 MIPS for an industrial design. Generating an Efficient Instruction Set Simulator from a Complete Property Suite
[7] The paper includes authors affiliated with OneSpin Solutions GmbH. Generating an Efficient Instruction Set Simulator from a Complete Property Suite