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Paper Abstract and Keywords
Presentation 2022-03-10 12:45
A Proposed Method for Detecting Presentation Failures Using Screenshots and DOM Analysis
Takato Okajima (NIT), Takafumi Tanaka (Tamagawa Univ.), Atsuo Hazeyama (Gakugei Univ.), Hiroaki Hashiura (NIT) KBSE2021-54
Abstract (in Japanese) (See Japanese page) 
(in English) In the mobile and web application, GUI visual is as specified be of importance. Because of that, many proposed of GUI visual is as specified testing method. However, many methods of compare image with image. because of that, can’t be testing that there is a big difference in between the two version GUI visual. In this paper, we proposed method of analyze specifications from screenshot of two web pages before and after version. In particular, screenshot of each element from the target Web page are obtained, and the visual specification is analyzed using computer vision techniques. Prestation Failure detected by comparing these before and after versions. Also, we proposed method of implementation tool, describe results of experiment for comparison with human testing that be verify the possibility and effectiveness of our proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Image Processing / Regression Testing / Presentation Failure / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 424, KBSE2021-54, pp. 78-83, March 2022.
Paper # KBSE2021-54 
Date of Issue 2022-03-02 (KBSE) 
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 KBSE2021-54

Conference Information
Committee KBSE  
Conference Date 2022-03-09 - 2022-03-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online (Zoom) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General, Student 
Paper Information
Registration To KBSE 
Conference Code 2022-03-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposed Method for Detecting Presentation Failures Using Screenshots and DOM Analysis 
Sub Title (in English)  
Keyword(1) Image Processing  
Keyword(2) Regression Testing  
Keyword(3) Presentation Failure  
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1st Author's Name Takato Okajima  
1st Author's Affiliation Nippon Institute of Technology (NIT)
2nd Author's Name Takafumi Tanaka  
2nd Author's Affiliation Tamagawa University (Tamagawa Univ.)
3rd Author's Name Atsuo Hazeyama  
3rd Author's Affiliation Tokyo Gakugei University (Gakugei Univ.)
4th Author's Name Hiroaki Hashiura  
4th Author's Affiliation Nippon Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2022-03-10 12:45:00 
Presentation Time 20 minutes 
Registration for KBSE 
Paper # KBSE2021-54 
Volume (vol) vol.121 
Number (no) no.424 
Page pp.78-83 
#Pages
Date of Issue 2022-03-02 (KBSE) 


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