Generation of a random sub-space of the space of assignments for a set of generative attributes for verification coverage closure

US9582458B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9582458-B2
Application numberUS-201213718093-A
CountryUS
Kind codeB2
Filing dateDec 18, 2012
Priority dateDec 18, 2012
Publication dateFeb 28, 2017
Grant dateFeb 28, 2017

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  1. Title

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  2. Abstract

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

System, method and computer readable medium are described. The method may include obtaining user defined distribution traits characterizing a random sub-space of a space of assignments for a set of generative variables. The method may further include applying the user defined distribution traits on the space of assignments for a set of generative variables to generate the random sub-space of the space of assignments for a set of generative variables. The method may also include testing a device under test using the generated random sub-space of the space of assignments for a set of generative variables.

First claim

Opening claim text (preview).

We claim: 1. A method, comprising: obtaining via an input device user defined distribution traits characterizing a random sub-space of a space of assignments for a set of generative variables; using a processor, applying the user defined distribution traits on the space of assignments for a set of generative variables and generating the random sub-space of the space of assignments for a set of generative variables; and testing using a testbench, a device under test using the generated random sub-space of the space of assignments for a set of generative variables. 2. The method of claim 1 , wherein the user defined distribution traits comprise general user defined distribution traits and specific user defined distribution traits. 3. The method of claim 2 , wherein the general user defined distribution traits comprise design parameters, constraints associated with these design parameters and relations. 4. The method of claim 2 , wherein the specific user defined distribution traits comprise constraints and sub-groups of parameters for exhaustive execution. 5. The method of claim 4 , further comprising obtaining the specific user defined distribution traits for a regression. 6. The method of claim 1 , wherein the steps of obtaining the user defined distribution traits and applying the user defined distribution traits on the space of assignments for a set of generative variables to generate the random sub-space of the space of assignments for a set of generative variables are performed as pre-test steps. 7. The method of claim 1 , performed integrated in the testbench. 8. A system, comprising: an input device to obtain user defined distribution traits characterizing a random sub-space of a space of assignments for a set of generative variables; a processor to apply the user defined distribution traits on the space of assignments for a set of generative variables and to generate the random sub-space of the space of assignments for a set of generative variables; a testbench to test a device under test using the generated random sub-space of the space of assignments for a set of generative variables. 9. The system of claim 8 , wherein the user defined distribution traits comprise general user defined distribution traits and specific user defined distribution traits. 10. The system of claim 9 , wherein the general user defined distribution traits comprise design parameters, constraints associated with these design parameters and relations. 11. The system of claim 9 , wherein the specific user defined distribution traits comprise constraints and sub-groups of parameters for exhaustive execution. 12. The system of claim 11 , wherein the generator is further configured to obtain the specific user defined distribution traits for a regression. 13. A non-transitory computer readable medium having instructions stored thereon, which when executed by a processor cause the processor to perform the method of: obtaining via an input device user defined distribution traits characterizing a random sub-space of a space of assignments for a set of generative variables; applying the user defined distribution traits on the space of assignments for a set of generative variables and generating the random sub-space of the space of assignments for a set of generative variables; and testing using a testbench a device under test using the generated random sub-space of the space of assignments for a set of generative variables. 14. The non-transitory computer readable medium of claim 13 , wherein the user defined distribution traits comprise general user defined distribution traits and specific user defined distribution traits. 15. The non-transitory computer readable medium of claim 14 , wherein the general user defined distribution traits comprise design parameters, constraints associated with these design parameters and relations. 16. The non-transitory computer readable medium of claim 14 , wherein the specific user defined distribution traits comprise constraints and sub-groups of parameters for exhaustive execution. 17. The non-transitory computer readable medium of claim 16 , comprising further instructions that when executed by the processor cause the processor to obtain the specific user defined distribution traits for a regression. 18. The non-transitory computer readable medium of claim 13 , wherein the user defined distribution traits comprise one or more sets of attributes for exhaustive testing. 19. The non-transitory computer readable medium of claim 13 , wherein the user defined distribution traits comprise one or more sets of attributes for non-exhaustive testing. 20. The non-transitory computer readable medium of claim 13 , wherein the user defined distribution traits comprise a repetition rule.

Assignees

Inventors

Classifications

  • Tools, e.g. program interfaces, test suite, test bench, simulation hardware, test compiler, test program languages (simulation software G01R31/318357; emulators G06F11/261) · CPC title

  • G06F30/398Primary

    Design verification or optimisation, e.g. using design rule check [DRC], layout versus schematics [LVS] or finite element methods [FEM] (optical proximity correction [OPC] design processes G03F1/36) · CPC title

  • for test design, e.g. generating new test cases · CPC title

  • Design verification, e.g. functional simulation or model checking · CPC title

  • G06F15/00Primary

    Digital computers in general (details G06F1/00 – G06F13/00); Data processing equipment in general · CPC title

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What does patent US9582458B2 cover?
System, method and computer readable medium are described. The method may include obtaining user defined distribution traits characterizing a random sub-space of a space of assignments for a set of generative variables. The method may further include applying the user defined distribution traits on the space of assignments for a set of generative variables to generate the random sub-space of th…
Who is the assignee on this patent?
Cadence Design Systems Inc
What technology area does this patent fall under?
Primary CPC classification G06F30/398. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 28 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).