A Survey on Automatic Assertion Miners

In the area of functional verification, AssertionBased Verification (ABV) has gained significant attention for the advantages it provides in verifying hardware designs. This approach relies on assertions generated by automatic assertion miners. These miners employ various techniques and methods to automatically mine assertions. This paper focuses on studying the most recent, advanced, and widely used assertion miners in the field and provides an analytical comparison between them. This study aims to highlight the strengths and shortcomings of current automatic assertion miners to assist researchers and verification engineers in understanding the functionality, strengths, and limitations of each miner. By addressing these limitations, more advanced automatic assertion miners can be developed in the future.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/ddecs63720.2025.11006673
Citations
1
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
0.71

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article

A Survey on Automatic Assertion Miners

Mohammad Reza Heidari Iman, Katell Morin-Allory, Giorgio Di Natale
1 citations
Mineral Processing and Grinding
0.71
article

A Survey on Automatic Assertion Miners

Mohammad Reza Heidari Iman, Katell Morin-Allory, Giorgio Di Natale
article en
1 citations

Abstract

In the area of functional verification, AssertionBased Verification (ABV) has gained significant attention for the advantages it provides in verifying hardware designs. This approach relies on assertions generated by automatic assertion miners. These miners employ various techniques and methods to automatically mine assertions. This paper focuses on studying the most recent, advanced, and widely used assertion miners in the field and provides an analytical comparison between them. This study aims to highlight the strengths and shortcomings of current automatic assertion miners to assist researchers and verification engineers in understanding the functionality, strengths, and limitations of each miner. By addressing these limitations, more advanced automatic assertion miners can be developed in the future.

Centre National de la Recherche Scientifique (FR), Université Grenoble Alpes (FR)
HORIZON EUROPE Framework Programme
Openalex Percentile: Top 32%
Mineral Processing and Grinding
0.71
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