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Design Under Verification

Concept WIKI v2 · 6/8/2026

A Design Under Verification (DUV) is the hardware design or circuit whose behavior is checked by a formal or assertion-based verification methodology. Verification of the DUV requires deep knowledge of its internal structure and signals, and is supported by complementary techniques such as automatic property generation and consistency assertions.

Definition

A Design Under Verification (DUV) is the hardware design or circuit whose behavior is being checked by a verification methodology. In property-suite and RTL-verification settings, properties describe the DUV's internal-state changes and output behavior for operations such as processor instructions. The DUV may be an RTL implementation checked against formal properties or SystemVerilog Assertions (SVA). [DUV-property-view] [DUV-RTL-impl]

Knowledge Requirements

Compared to simulation-based approaches, formal verification requires a deep knowledge of the internals of the DUV in order to write useful assertions. This is a central motivation for automating formal verification of well-defined classes of circuits, because it eases the migration from simulation to formal methods. [DUV-deep-knowledge]

Role in Property-Based Verification

In formal property checking, the intended behavior of a design can be expressed as safety properties. Interval Property Checking (IPC) checks bounded safety properties with SAT-based techniques and uses arbitrary starting states rather than only the initial state. If a property holds from an arbitrary state, it also holds from any reachable state, giving exhaustive verification for that property; counterexamples from unreachable states can be addressed by adding invariants. [IPC-DUV-verification]

A complete property suite aims to cover every possible input scenario, or transaction sequence, with a chain of properties that predicts states and outputs at every point in time. Under this view, any two designs satisfying all properties in a complete suite are formally equivalent. The equivalence of the property suite and the DUV is established by chaining the generated properties, with each property consisting of an assume part (assumption A) and a prove part (consequent C). [complete-property-suite] [property-DUV-chaining]

Completeness analysis checks include whether successor properties exist with matching assumptions, whether the successor is uniquely determined, and whether each property uniquely describes the DUV's outputs and states. [complete-property-suite]

Architectural-State Abstraction

For processor verification, the DUV can be described through a high-level operation view: each property captures the effect of executing a single instruction on the internal state and outputs. The state of the DUV is described in terms of an Architectural State, corresponding to the programmer-visible registers of the design. Mapping functions connect this architectural state to the implementation, for example by hiding pipeline forwarding logic behind an architectural register-file view. [architectural-state-abstraction]

This abstraction makes operation properties resemble a high-level specification while still being checked against the RTL. In an architectural-style formulation, verification explicitly models architectural state and interfaces to memories or ports, and defines a next_state macro describing the effect of instructions and interrupts on that state. [architectural-style]

Consistency Assertions for the DUV

While instruction properties describe the processing of a single instruction through the pipeline, a set of consistency assertions is automatically generated alongside them to cover the overall correctness of the DUV. These assertions ensure the correct interaction of multiple instructions and the consistent pipeline behavior when no instruction is present in a dedicated stage. For example, they check that empty stages will not update any state elements, and that instructions do not overwrite each other or cause empty pipeline stages to have an effect on the visible registers or issue-interface transactions. Consistency assertions also help the user find an appropriate architectural mapping by giving feedback for debugging when a property fails. [consistency-assertions] [consistency-feedback]

The overall verification is fail-safe: it cannot succeed if the DUV is not correct, but even for a correct design, finding the appropriate mapping functions can be difficult, and failing consistency assertions can guide the user to mapping functions that need revision. [consistency-fail-safe]

Relation to Assertion Generation

In SystemVerilog Assertion workflows, creating useful assertions requires expertise in both temporal logic and the design under verification. Recent tool-augmented approaches generate assertions from natural-language specifications by gathering design context (e.g., semantic search over an AST-indexed vector database and structural queries) and refining assertions with formal proof feedback over multiple verification rounds, illustrating that the DUV's structure and signals are central to assertion correctness. Such approaches are evaluated on design-to-SVA benchmarks, achieving high syntax and functional correctness. [SVA-DUV-context] [ProofLoop-evaluation]

Verification Tools and Tool Chains

The generated property suite can be formally verified against the RTL of the DUV using commercial formal-verification tools that support the required spectrum of techniques, from the verification of SystemVerilog assertions all the way to automatic completeness analysis. Such tools offer IPC and k-induction proof engines with sufficient capacity and performance to handle complete verification of processors, and have been applied to industrial processor designs. [verification-tools] [IPC-k-induction]

The overall effort for verifying a DUV can be reduced significantly compared to manual complete formal verification by adopting a structured, architecture-driven approach to property-suite generation. [structured-verification]

CITATIONS

14 sources
14 citations
[1] A Design Under Verification is the hardware design or circuit whose behavior is being checked by a verification methodology, such as an RTL implementation checked against formal properties or SystemVerilog Assertions. Automated Formal Verification of Processors Based on Architectural Models
[2] Formal verification requires a deep knowledge of the internals of the design under verification in order to write assertions, motivating automation for well-defined circuit classes. Automated Formal Verification of Processors Based on Architectural Models
[3] Interval Property Checking (IPC) checks bounded safety properties with SAT-based techniques using arbitrary starting states, and counterexamples from unreachable states can be handled by adding invariants. Automated Formal Verification of Processors Based on Architectural Models
[4] A complete property suite covers every possible input scenario with a chain of properties predicting states and outputs; any two designs fulfilling all properties of a complete suite are formally equivalent. Automated Formal Verification of Processors Based on Architectural Models
[5] The equivalence of the property suite and the DUV is established by chaining generated properties, each consisting of an assume part (A) and a prove part (C), hooked up at the timepoint when the processor is ready to execute the next instruction. Automated Formal Verification of Processors Based on Architectural Models
[6] Completeness analysis checks (1) that a successor property with matching assumptions exists, (2) that the successor property is uniquely determined, and (3) that each property describes the outputs and states of the design uniquely. Automated Formal Verification of Processors Based on Architectural Models
[7] For processor DUVs, the architectural state corresponds to programmer-visible registers, and mapping functions connect this architectural view to the implementation (e.g., hiding pipeline forwarding logic behind a register-file view). Automated Formal Verification of Processors Based on Architectural Models
[8] Architectural-style verification explicitly models architectural state and interfaces to memories or ports, and defines a next_state macro describing the effect of instructions and interrupts on that state. Automated Formal Verification of Processors Based on Architectural Models
[9] Consistency assertions are automatically generated to cover overall DUV correctness, ensuring correct interaction of multiple instructions, consistent pipeline behavior when stages are empty, and that empty stages do not update state elements. Automated Formal Verification of Processors Based on Architectural Models
[10] The overall verification is fail-safe — it cannot succeed if the DUV is not correct — and failing consistency assertions help the user debug mapping functions that need revision. Automated Formal Verification of Processors Based on Architectural Models
[11] Tool-augmented SVA-generation approaches gather design context (e.g., semantic search over an AST-indexed vector database and structural queries) and refine assertions using formal proof feedback over multiple verification rounds. From Language to Logic: Bridging LLMs & Formal Representations for RTL Assertion Generation
[12] Evaluation on design-to-SVA benchmarks shows that solver-in-the-loop LLM-based assertion generation can achieve 93.7% syntax correctness and 82.0% functional correctness, confirming the central role of the DUV's structure in assertion quality. From Language to Logic: Bridging LLMs & Formal Representations for RTL Assertion Generation
[13] Commercial formal-verification tools (e.g., OneSpin 360MV) support the full spectrum required to verify a DUV, from SVA verification to automatic completeness analysis, and provide IPC and k-induction proof engines suitable for complete processor verification. Automated Formal Verification of Processors Based on Architectural Models
[14] The structured architecture-driven property-generation approach significantly reduces the verification effort for a DUV compared to manual complete formal verification. Automated Formal Verification of Processors Based on Architectural Models

VERSION HISTORY

v2 · 6/8/2026 · minimax/minimax-m3 (current)
v1 · 5/29/2026 · gpt-5.5