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| Presentation | 2022-03-07 14:30 Learning Assumptions for Compositional Verification of Timed Systems with Tree Queries Kotaro Niimi, Shoji Yuen (Nagoya Univ)  SS2021-49 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper presents an automatic assumption-learning for compositional verification of timed systems. We focus on Assume-Guarantee Reasoning (AGR), one of the compositional verification methods. AGR checks whether multiple components satisfy the property as a whole by checking whether the individual components interact correctly with the assumption without violating the desired property. Assumption learning algorithms for AGR have been proposed by Cobleigh et al. using Angluin’s L* algorithm and further extended to timed systems by Lin et al. We apply the SL* algorithm for register automata to timed systems modelled by Event-recording automata(ERA). Our assumption-learning uses tree queries to construct an observation table for the assumption ERA instead of guarded words. Our assumption includes actions to reset clocks. This enables to learn assumption ERA by a single loop and make the algorithm simpler. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Compositional verification / Timed systems / Tree query / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 416, SS2021-49, pp. 43-48, March 2022. | |
| Paper # | SS2021-49 | |
| Date of Issue | 2022-02-28 (SS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | SS2021-49 |
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| Conference Information | |
| Committee | SS |
| Conference Date | 2022-03-07 - 2022-03-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Software Science etc. |
| Paper Information | |
| Registration To | SS |
| Conference Code | 2022-03-SS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning Assumptions for Compositional Verification of Timed Systems with Tree Queries |
| Sub Title (in English) | |
| Keyword(1) | Compositional verification |
| Keyword(2) | Timed systems |
| Keyword(3) | Tree query |
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| 1st Author's Name | Kotaro Niimi |
| 1st Author's Affiliation | Nagoya University (Nagoya Univ) |
| 2nd Author's Name | Shoji Yuen |
| 2nd Author's Affiliation | Nagoya University (Nagoya Univ) |
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| Speaker | Author-1 |
| Date Time | 2022-03-07 14:30:00 |
| Presentation Time | 25 minutes |
| Registration for | SS |
| Paper # | SS2021-49 |
| Volume (vol) | vol.121 |
| Number (no) | no.416 |
| Page | pp.43-48 |
| #Pages | 6 |
| Date of Issue | 2022-02-28 (SS) |
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