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| Presentation | 2021-05-22 14:00 An Automated Method of Identifying Errors in UML State Machine Diagrams for Generating Educational Feedback -- Focus on the Types of Errors to Be Identified and the Results of Their Identification -- Mitsutada Goshima, Shinpei Ogata (Shinshu Univ.), Erina Makihara (Doshisha Univ.), Kozo Okano (Shinshu Univ.)  KBSE2021-10 SWIM2021-10 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In learning UML (Unified Modeling Language) state machine diagrams, it is difficult for learners to receive quick educational feedback on errors from educators because it takes time for educators to grade the answers. In order to provide such feedback to learners, it is essential to identify errors accurately and automatically. For this purpose, we have proposed a method to support educators in determining the correctness of state machine diagrams. However, although the previous methods automatically determine the correctness of behavior, they cannot identify the location and type of error. Therefore, the purpose of this study is to propose an automatic method for identifying errors in state machine diagrams and the types of errors. In this paper, we discuss in particular the types of errors that should be identified. As a result of applying the proposed method to 38 answers, the correct results were obtained for 97％ of the answers. It is suggested that the proposed method is useful as an error identification method. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | UML / State Machine Diagram / Education / Learning Support / Error Identification / Feedback / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 35, KBSE2021-10, pp. 56-61, May 2021. | |
| Paper # | KBSE2021-10 | |
| Date of Issue | 2021-05-14 (KBSE, SWIM) | |
| 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) | |
| Download PDF | KBSE2021-10 SWIM2021-10 |
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| Conference Information | |
| Committee | KBSE SWIM |
| Conference Date | 2021-05-21 - 2021-05-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | KBSE |
| Conference Code | 2021-05-KBSE-SWIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Automated Method of Identifying Errors in UML State Machine Diagrams for Generating Educational Feedback |
| Sub Title (in English) | Focus on the Types of Errors to Be Identified and the Results of Their Identification |
| Keyword(1) | UML |
| Keyword(2) | State Machine Diagram |
| Keyword(3) | Education |
| Keyword(4) | Learning Support |
| Keyword(5) | Error Identification |
| Keyword(6) | Feedback |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Mitsutada Goshima |
| 1st Author's Affiliation | Shinshu University (Shinshu Univ.) |
| 2nd Author's Name | Shinpei Ogata |
| 2nd Author's Affiliation | Shinshu University (Shinshu Univ.) |
| 3rd Author's Name | Erina Makihara |
| 3rd Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 4th Author's Name | Kozo Okano |
| 4th Author's Affiliation | Shinshu University (Shinshu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-05-22 14:00:00 |
| Presentation Time | 30 minutes |
| Registration for | KBSE |
| Paper # | KBSE2021-10, SWIM2021-10 |
| Volume (vol) | vol.121 |
| Number (no) | no.35(KBSE), no.36(SWIM) |
| Page | pp.56-61 |
| #Pages | 6 |
| Date of Issue | 2021-05-14 (KBSE, SWIM) |
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