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Nyasha Masamba

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Nyasha Masamba is an author of the arXiv paper "Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification," submitted in May 2022 and last revised in October 2022.

First seen 5/30/2026
Last seen 6/3/2026
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Overview

Nyasha Masamba is listed as an author of the paper "Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification" on arXiv. The paper was submitted on 17 May 2022, with version 3 last revised on 16 October 2022.

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The paper is authored by Nyasha Masamba and 2 other authors.
The paper is authored by Nyasha Masamba and other co-authors.

CITATIONS

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[1] Nyasha Masamba is an author of "Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification." Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification
[2] The paper was submitted on 17 May 2022 and version 3 was last revised on 16 October 2022. Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification
[3] The paper introduces a supervised-learning-based coverage-directed test selection method that uses coverage feedback to prioritize tests likely to increase functional coverage. Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification