フルテキストURL IT_Pro_19_2_58.pdf
著者 Monden, Akito| Tsunoda, Masateru| Barker, Mike| Matsumoto, Kenichi|
抄録 Research findings are often expressed as short startling sentences or software engineering (SE) beliefs such as “about 80 percent of the defects come from 20 percent of the modules” and “peer reviews catch 60 percent of the defects” [2]. Such SE beliefs are particularly important in industry, as they are attention-getting, easily understandable, and thus practically useful. In this paper we examine the power of such SE beliefs to justify process improvement through empirical validation of selected beliefs related to the increase or decrease of defects in system testing. We explore four basic SE beliefs in data from two midsize embedded software development organizations in Japan, and based on this information, identify possible process improvement actions for each organization. Based on our study, even small and medium-sized enterprises (SMEs) can use this approach to find possible directions to improve their process, which will result in better products.
キーワード D.2.19 Software Quality/SQA D.2.8.c Process metrics
備考 Published in: IT Professional "Examining Software Engineering Beliefs about System Testing Defects" ( Volume: 19, Issue: 2, March-April 2017 )
発行日 2017-03
出版物タイトル IT Professional
19巻
2号
出版者 IEEE
開始ページ 58
終了ページ 64
ISSN 1520-9202
NCID AA11321715
資料タイプ 学術雑誌論文
言語 English
OAI-PMH Set 岡山大学
著作権者 https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
論文のバージョン author
DOI 10.1109/MITP.2017.31
Web of Sience KeyUT 000400570200009
関連URL https://doi.org/10.1109/MITP.2017.31
フルテキストURL hara_CASPer15_final_rev2.pdf
著者 Hara, Sunao| Abe, Masanobu| Sonehara, Noboru|
抄録 This paper presents a sound collection system to visualize environmental sounds that are collected using a crowd-sourcing approach. An analysis of physical features is generally used to analyze sound properties; however, human beings not only analyze but also emotionally connect to sounds. If we want to visualize the sounds according to the characteristics of the listener, we need to collect not only the raw sound, but also the subjective feelings associated with them. For this purpose, we developed a sound collection system using a crowdsourcing approach to collect physical sounds, their statistics, and subjective evaluations simultaneously. We then conducted a sound collection experiment using the developed system on ten participants.We collected 6,257 samples of equivalent loudness levels and their locations, and 516 samples of sounds and their locations. Subjective evaluations by the participants are also included in the data. Next, we tried to visualize the sound on a map. The loudness levels are visualized as a color map and the sounds are visualized as icons which indicate the sound type. Finally, we conducted a discrimination experiment on the sound to implement a function of automatic conversion from sounds to appropriate icons. The classifier is trained on the basis of the GMM-UBM (Gaussian Mixture Model and Universal Background Model) method. Experimental results show that the F-measure is 0.52 and the AUC is 0.79.
備考 © © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The article has been accepted for publication.<br> Published in:Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on; <br> Date of Conference:23-27 March 2015; <br> Page(s):390 - 395; <br> Conference Location : St. Louis, MO, USA; <br> Publisher:IEEE; <br> Publisher URL:http://dx.doi.org/10.1109/PERCOMW.2015.7134069 ; <br> © Copyright 2015 IEEE - All rights reserved.
発行日 2015-03
出版物タイトル Proceedings of 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)
出版者 IEEE
開始ページ 390
終了ページ 395
資料タイプ 学術雑誌論文
言語 English
OAI-PMH Set 岡山大学
論文のバージョン author
DOI 10.1109/PERCOMW.2015.7134069
著者 Nagataki, Hiroyuki| Fujii, Taichi| Yamauchi, Yukiko| Kakugawa, Hirotsugu| Masuzawa, Toshimitsu|
発行日 2010-07-29
出版物タイトル 2010 2nd International Conference on Education Technology and Computer (ICETC)
2巻
資料タイプ 会議発表論文
著者 Yamamoto, Yoshitake| Shirai, Kiyoko| Goda, Noriko| Nakamura, Takao| Kusuhara, Toshimasa| Okuda, Hiroyuki|
発行日 2003-10
出版物タイトル IEEE EMBS Asian-Pacific Conference on Biomedical Engineering
資料タイプ 会議発表論文
著者 Miyagi, Daisuke| Iwata, Satoru| Wakatsuki, Tomohiro| Takahashi, Norio| Torii, Shinji| Ueda, Kiyotaka| Yasuda, Kenji|
発行日 2004-6
出版物タイトル IEEE Transactions on Applied Superconductivity
14巻
2号
資料タイプ 学術雑誌論文
フルテキストURL fulltext.pdf
著者 Imai, Jun| Wada, Kiyoshi|
抄録 A procedure for control-oriented modeling of uncertainty is proposed for large flexible structures. Techniques on quantification of errors in modal truncated nominal models are developed for the case where a finite number of upper and lower bounds of the unknown modal parameters are given. A feasible set of systems matching the conditions is introduced, and then error bounds covering the feasible set are established in the frequency domain. The bounds are easily checked using linear programming for any user-specified frequency. The feasibility of the proposed scheme is illustrated by numerical study on an ideal flexible beam example.
キーワード error analysis flexible structures frequency-domain analysis linear programming modelling parameter estimation uncertain systems
備考 Print ISBN: 0-7803-6638-7
発行日 2000-12
出版物タイトル Proceedings of the 39th IEEE Conference on Decision and Control
4巻
出版者 IEEE
開始ページ 3780
終了ページ 3784
ISSN 0191-2216
NCID BA51644536
資料タイプ 学術雑誌論文
言語 English
OAI-PMH Set 岡山大学
著作権者 © 2000 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
論文のバージョン publisher
DOI 10.1109/CDC.2000.912298
Web of Sience KeyUT 000172029000684