HARM: A Hint-Based Assertion Miner

Author:

Germiniani Samuele1ORCID,Pravadelli Graziano1ORCID

Affiliation:

1. Department of Computer Science, University of Verona, Verona, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic High Functional Coverage Stimuli Generation for Assertion-based Verification;2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS);2024-07-03

2. Invited Talk: Pros and Cons of Assertion Mining;2024 IEEE 25th Latin American Test Symposium (LATS);2024-04-09

3. Syntactic and Semantic Analysis of Temporal Assertions to Support the Approximation of RTL Designs;Journal of Electronic Testing;2024-04

4. ARTmine: Automatic Association Rule Mining with Temporal Behavior for Hardware Verification;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

5. Exploiting assertions mining and fault analysis to guide RTL-level approximation;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04

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