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ÉôÌç: ¥»¥Ã¥·¥ç¥ó 1602  26. ¾ðÊó½èÍý-(2)
Æü»þ: 2012ǯ10·î20Æü(ÅÚ) 10:30 - 11:48
Éô²°: ¶µÍÜÅï2¹æ´Û 701¼¼ (¢ªÃÏ¿Þ)
ºÂĹ: ½Ð¸ý ¹¬»Ò (¶áµ¦Âç³Ø¹©³ØÉô ÅŻҾðÊ󹩳زÊ)

26-7 (»þ´Ö: 10:30 - 10:43)
Âê̾¥â¡¼¥·¥ç¥ó¤Ë¤è¤ë¥Þ¥¦¥¹Áàºî¤Î¼Â¸½
Ãø¼Ô*Æ£°æ ·òÂÀ, ËÌÀî ʸÉ× (²¬»³Íý²ÊÂç³Ø)
Pagepp. 403 - 404
Keyword¥â¡¼¥·¥ç¥ó¥­¥ã¥×¥Á¥ã, Kinect, ¥Þ¥¦¥¹
Abstract¤³¤³¿ôǯ¤Î¥²¡¼¥à¥³¥ó¥È¥í¡¼¥é¤Îµ¡Ç½¤Î¿Ê²½¤ÏÃø¤·¤¯¡¢´Êñ¤Ê¥â¡¼¥·¥ç¥ó¥­¥ã¥×¥Á¥ã¡¼¤ò¹Ô¤¨¤ë¤Þ¤Ç¤Ë¤Ê¤Ã¤Æ¤¤¤ë¡£¤Ê¤«¤Ç¤âMicrosoft¤ÎKinect¤Ï¤¢¤ëÄøÅÙ¤ÎÀºÅÙ¤ò»ý¤Ã¤¿¾ðÊ󤬼èÆÀ¤Ç¤­¤ë¡£¤³¤ÎÊó¹ð¤Ç¤Ï¡¢Kinect¤ò»È¤¤¥â¡¼¥·¥ç¥ó¤ò¿ô¼ïÎà¶èÊ̤¹¤ë¤³¤È¤Ç¡¢¥Þ¥¦¥¹¤ÎÁàºî¤ËÂбþ¤·¤¿¥½¥Õ¥È¥¦¥§¥¢¤Î¼Â¸½¤Ë¤Ä¤¤¤Æ¤ªÏä·¤¹¤ë¡£

26-8 (»þ´Ö: 10:43 - 10:56)
Âê̾²Ã®ÅÙ¥»¥ó¥µ¤òÍѤ¤¤¿¥¿¥Ã¥Á¥Ñ¥Í¥ëÁàºî»þ¤Î±¿Æ°Ç½ÎÏɾ²Á
Ãø¼Ô*´äùõ Í¥, ×¢ÉÚ Å¯Ìé (Å纬Âç³Ø)
Pagep. 405
Keyword²Ã®ÅÙ¥»¥ó¥µ, ¥¿¥Ã¥Á¥Ñ¥Í¥ëÁàºî, ±¿Æ°Ç½ÎÏ, ÉÔ¿ï°Õ±¿Æ°, ¥·¡¼¥Æ¥£¥ó¥°

26-9 (»þ´Ö: 10:56 - 11:09)
Âê̾A Study on Analogy-based Multiple Regression Model for Software Effort Estimation
Ãø¼Ô*Xiaohan Ban, Xiao Xiao, Tadashi Dohi (Hiroshima University)
Pagep. 406
KeywordSoftware effort estimation, multiple regression, analogy
AbstractSoftware effort estimation is an important issue in the achievement of a successful software project management. Dejaeger et. al showed that multiple regression (MR) model in combination with a logarithmic transformation performed best. In this paper, we propose an analogy-based MR model with the idea of analogy, and compare the estimation accuracy of the proposed and conventional methods. According to experimental results, it can be concluded that our model is able to perform better than conventional MR model.

26-10 (»þ´Ö: 11:09 - 11:22)
Âê̾Optimal Allocation of Software Testing-Resources with Reliability Criterion
Ãø¼Ô*Bing Wu, Xiao Xiao, Tadashi Dohi (¹­ÅçÂç³Ø)
Pagep. 407
Keywordtesting-rsources, reliability criterion, reliability, optimal allocation
AbstractFor a software development process, 40%~50% of the total software development resources are consumed in the testing phase. Therefore the software testing resource allocation is one of the most significant issues in software project management. Ukimoto et al. formulated three optimization problems for the software testing-resource allocation. In this paper, we take software reliability into account and formulate three new optimization problems by considering a desired reliability objective. We solve these problems by the Lagrange multiplier method.

26-11 (»þ´Ö: 11:22 - 11:35)
Âê̾Development of Software Reliability Models with Kernel Methods
Ãø¼Ô*Kei Okumura, Hiroyuki Okamura, Tadashi Dohi (¹­ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê¾ðÊ󹩳ØÀ칶)
Pagep. 408
KeywordSoftware reliability growth model, Software metrics, Poisson regression, Kernel method
AbstractThis paper presents a software reliability growth model (SRGM) using kernel methods. In recent years, several papers have presented SRGMs which deal with software metrics. However these models require us to select a set of software metrics before evaluating the software reliability. In general, it is difficult to determine the best set of software metrics to estimate the reliability, but it strongly affects the predictive performance of metrics-based SRGMs. In this paper, by using kernel methods that map into a high dimensional feature space, we develop an SRGM without software metrics selection.

26-12 (»þ´Ö: 11:35 - 11:48)
Âê̾¶ËÃÍʬÉۤ˴ð¤Å¤¤¤¿2¹à¥½¥Õ¥È¥¦¥§¥¢¿®ÍêÀ­¥â¥Ç¥ë
Ãø¼Ô*¾Ó ð¼, ÅÚÈî Àµ (¹­ÅçÂç³Ø)
Pagep. 409
Keyword¥½¥Õ¥È¥¦¥§¥¢¿®ÍêÀ­, 2¹à¥â¥Ç¥ë, ¶ËÃÍʬÉÛ, NHPP, ͽ¬ɾ²Á
Abstract2 ¹à²áÄø (BP) ¤Ë´ð¤Å¤¤¤¿¥½¥Õ¥È¥¦¥§¥¢¿®ÍêÀ­¥â¥Ç¥ë (SRM) ¤Ï¥Æ¥¹¥ÈÃʳ¬¤Ë¤ª¤¤¤Æ¸¡½Ð¤µ¤ì¤ë¥½¥Õ¥È¥¦¥§¥¢¥Õ¥©¡¼¥ë¥È¿ô¤Î»þ´ÖŪµóÆ°¤òµ­½Ò¤¹¤ë¤¿¤á¤Î³ÎΨ¥â¥Ç¥ë¤Ç¤¢¤ê¡¤¥Õ¥©¡¼¥ë¥È¸¡½Ð»þ´ÖʬÉÛ¤ËÍÍ¡¹¤Ê³ÎΨʬÉÛ¤ò²¾Äꤹ¤ë¤³¤È¤Ç¡¤Â¿¤¯¤Î¥Õ¥©¡¼¥ë¥È¸¡½Ð¥Ñ¥¿¡¼¥ó¤òɽ¸½¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡¥°ìÊý¡¤¶ËÃÍʬÉÛ (EVD) ¤Ï¡¤ÆÈΩ¤ÇƱ°ì¤ÊʬÉۤ˽¾¤¦Ê£¿ô¤Î³ÎΨÊÑ¿ô¤ÎºÇÂçÃͤäºÇ¾®Ãͤ¬Á²¶áŪ¤Ë½¾¤¦³ÎΨʬÉۤǤ¢¤ê¡¤¿®ÍêÀ­Ê¬Ìî¤Ç¤Ï¡¤ÊÂÎó¹½Â¤Ëô¤ÏľÎó¹½Â¤¤ò»ý¤Ä¥·¥¹¥Æ¥à¤Î¿®ÍêÀ­É¾²Á¤Ë¤è¤¯ÍѤ¤¤é¤ì¤ë¡¥Àè¹Ô¸¦µæ¤Ç¤Ï BP-based SRM ¤Ë°¤¹¤ëÈóƱ¼¡¥Ý¥¢¥½¥ó²áÄø¤Ë´ð¤Å¤¤¤¿¥½¥Õ¥È¥¦¥§¥¢¿®ÍêÀ­¥â¥Ç¥ë (NHPP-based SRM) ¤Ë EVD ¤òŬÍѤ·¡¤Å¬¹çÀ­¤äͽ¬À­Ç½¤Î´ÑÅÀ¤«¤é¥½¥Õ¥È¥¦¥§¥¢¿®ÍêÀ­É¾²Á¤Ë¤ª¤±¤ë EVD ¤ÎÍ­ÍÑÀ­¤ò¸¡¾Ú¤·¤¿¡¥ËܹƤǤϡ¤EVD ¤ò BP-based SRM ¤Î¥Õ¥©¡¼¥ë¥È¸¡½Ð»þ´ÖʬÉۤȲ¾Äꤷ¡¤EVD-BP-based SRM ¤òÄó°Æ¤¹¤ë¡¥