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Paper Abstract and Keywords
Presentation 2017-01-26 10:00
Analysis on effort datasets by causal-effect relationship using LiNGAM
Masanari Kondo, Osamu Mizuno (Kyoto Inst. Tech.) MSS2016-57 SS2016-36
Abstract (in Japanese) (See Japanese page) 
(in English) The effort estimation is an important task in the software development. Previous research works proposed models using machine learning techniques such as regression analysis and so on. The previous works sometimes used open cross-company datasets as training data because of the lack of sufficient number of samples. In such cases, the goodness of dataset affects the result of models. We thus have to know the goodness of datasets for effort estimation model. In this paper, we propose a new evaluation measure using causal-effect relationships. The empirical experiment shows that our the new evaluation measure could evaluate an accuracy of effort datasets.
Keyword (in Japanese) (See Japanese page) 
(in English) Causal-Effect Relationship / Linear Non-Gaussian Acyclic Model ( LiNGAM ) / Bayes LiNGAM / Effort Estimation / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 426, SS2016-36, pp. 1-6, Jan. 2017.
Paper # SS2016-36 
Date of Issue 2017-01-19 (MSS, SS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 MSS2016-57 SS2016-36

Conference Information
Committee MSS SS  
Conference Date 2017-01-26 - 2017-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SS 
Conference Code 2017-01-MSS-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis on effort datasets by causal-effect relationship using LiNGAM 
Sub Title (in English)  
Keyword(1) Causal-Effect Relationship  
Keyword(2) Linear Non-Gaussian Acyclic Model ( LiNGAM )  
Keyword(3) Bayes LiNGAM  
Keyword(4) Effort Estimation  
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1st Author's Name Masanari Kondo  
1st Author's Affiliation Kyoto Institute of Technology (Kyoto Inst. Tech.)
2nd Author's Name Osamu Mizuno  
2nd Author's Affiliation Kyoto Institute of Technology (Kyoto Inst. Tech.)
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Speaker Author-1 
Date Time 2017-01-26 10:00:00 
Presentation Time 30 minutes 
Registration for SS 
Paper # MSS2016-57, SS2016-36 
Volume (vol) vol.116 
Number (no) no.425(MSS), no.426(SS) 
Page pp.1-6 
#Pages
Date of Issue 2017-01-19 (MSS, SS) 


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