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Paper Abstract and Keywords
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
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.
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 Print edition: ISSN 0913-5685  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

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  
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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
Date Time 2021-05-22 14:00:00 
Presentation Time 30 
Registration for KBSE 
Paper # IEICE-KBSE2021-10,IEICE-SWIM2021-10 
Volume (vol) IEICE-121 
Number (no) no.35(KBSE), no.36(SWIM) 
Page pp.56-61 
#Pages IEICE-6 
Date of Issue IEICE-KBSE-2021-05-14,IEICE-SWIM-2021-05-14 


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