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 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) |
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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) |
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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) |
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Keyword(1) |
Causal-Effect Relationship |
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Linear Non-Gaussian Acyclic Model ( LiNGAM ) |
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Bayes LiNGAM |
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Effort Estimation |
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1st Author's Name |
Masanari Kondo |
1st Author's Affiliation |
Kyoto Institute of Technology (Kyoto Inst. Tech.) |
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Osamu Mizuno |
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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 |
6 |
Date of Issue |
2017-01-19 (MSS, SS) |
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