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Paper Abstract and Keywords
Presentation 2017-07-19 17:00
A Study on Discerning Hidden Critical Rules in Legacy Information Systems
Masayuki Inoue, Akio Jin, Keitaro Horikawa (NTT), Noriaki Izumi (AIST) SS2017-13 KBSE2017-13
Abstract (in Japanese) (See Japanese page) 
(in English) As large-scale systems are so expensive, they are often kept in operation for long periods even though they may not perfectly suit current work demands. Attempting to adapt them to current work requirements with the minimum in necessary system revisions degrades operation efficiency. The common solution forces the developer to analyze the system as is. However, unless the developer has abundant business knowledge, it is likely that the existence of important tasks and rules will be overlooked, which will raise the cost and delay of development revision. We avoid reliance on developer skill in analyzing the system’s documents and source code, the conventional approach, we analyze just the system data held in a database. The result is that some "Hidden Critical Rules" can now be discovered in a half-automated manner.
Keyword (in Japanese) (See Japanese page) 
(in English) Legacy System / System Renewal / As-Is System analysis / Data Structuring / Business Rules / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 136, SS2017-13, pp. 73-78, July 2017.
Paper # SS2017-13 
Date of Issue 2017-07-12 (SS, KBSE) 
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 SS2017-13 KBSE2017-13

Conference Information
Committee SS KBSE IPSJ-SE  
Conference Date 2017-07-19 - 2017-07-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SS 
Conference Code 2017-07-SS-KBSE-SE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Discerning Hidden Critical Rules in Legacy Information Systems 
Sub Title (in English)  
Keyword(1) Legacy System  
Keyword(2) System Renewal  
Keyword(3) As-Is System analysis  
Keyword(4) Data Structuring  
Keyword(5) Business Rules  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Masayuki Inoue  
1st Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION, NTT Software Innovation Center (NTT)
2nd Author's Name Akio Jin  
2nd Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION, NTT Software Innovation Center (NTT)
3rd Author's Name Keitaro Horikawa  
3rd Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION, NTT Software Innovation Center (NTT)
4th Author's Name Noriaki Izumi  
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2017-07-19 17:00:00 
Presentation Time 25 minutes 
Registration for SS 
Paper # SS2017-13, KBSE2017-13 
Volume (vol) vol.117 
Number (no) no.136(SS), no.137(KBSE) 
Page pp.73-78 
#Pages 6 
Date of Issue 2017-07-12 (SS, KBSE) 

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