Volume 5, Issue 4, March 2019, Pages 278 - 282
Animated Graphics-based Training Support Method and Prototype Tool for Bug Fixing of Extended Place/Transition Nets
Authors
Tomohiko Takagi1, *, Shogo Morimoto2, Yuki Ue2, Yoshiro Imai1
1Department of Engineering and Design, Faculty of Engineering and Design, Kagawa University, Takamatsu-shi, Kagawa 761-0396, Japan
2Division of Reliability-based Information Systems Engineering, Graduate School of Engineering, Kagawa University, Takamatsu-shi, Kagawa 761-0396, Japan
*Corresponding author. Email: takagi@eng.kagawa-u.ac.jp
Corresponding Author
Tomohiko Takagi
Received 15 October 2018, Accepted 22 November 2018, Available Online 30 March 2019.
- DOI
- 10.2991/jrnal.k.190402.001How to use a DOI?
- Keywords
- Training support; software modeling; place/transition net; bug fixing
- Abstract
This paper describes an animated graphics-based training support method for bug fixing of Extended Place/transition Nets (EPNs), and illustrates a prototype tool that the core of the method has been implemented into. The prototype tool gives a trainee a faulty EPN and its animated graphics. The motion of the animated graphics is synchronized with the motion of the faulty/fixed EPN. Therefore, it is expected that a trainee can intuitively understand the EPN, and smoothly try to fix its bug. The result of bug fixing is checked by the prototype tool. The discussion based on trial application of the prototype tool reveals its effectiveness and challenges for the future.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Tomohiko Takagi AU - Shogo Morimoto AU - Yuki Ue AU - Yoshiro Imai PY - 2019 DA - 2019/03/30 TI - Animated Graphics-based Training Support Method and Prototype Tool for Bug Fixing of Extended Place/Transition Nets JO - Journal of Robotics, Networking and Artificial Life SP - 278 EP - 282 VL - 5 IS - 4 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.190402.001 DO - 10.2991/jrnal.k.190402.001 ID - Takagi2019 ER -