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| arimammse: an improved arima-based software productivity prediction method | |
| Ruan Li; Wang Yongji; Wang Qing; Shu Fengdi; Zeng Haitao; Zhang Shen | |
| 2006 | |
| Conference Name | 30th Annual International Computer Software and Applications Conference |
| Source | Proceedings of the 30th Annual International Computer Software and Applications Conference - Volume 02 |
| Pages | 135-138 |
| Conference Date | SEP 17-21, |
| Conference Place | Chicago, IL |
| Publish Place | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA |
| Publisher | 30th Annual International Computer Software and Applications Conference, Vol 2, Short Papers/Workshops/Fast Abstracts/Doctoral Symposium, Proceedings |
| ISSN | 0730-3157 |
| ISBN | 0-7695-2655-1 |
| Department | Chinese Acad Sci, Inst Software, Lab Internet Software Technol, Beijing 100080, Peoples R China. |
| English Abstract | Productivity is a critical performance index of process resources. As successive history productivity data tends to be auto-correlated, time series prediction method based on Auto-Regressive Integrated Moving Average (ARIMA) model was introduc |
| Keyword | Arima Parameter Estimation Arima-based Software Productivity Prediction Arimammse Yule-walk Estimation Technique Autoregressive Integrated Moving Average Model Constrained Optimization Problem Minimum Mean Square Error Performance Index Time Series Predic |
| Sponsorship | IEEE Comp Soc |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/12084 |
| Collection | 互联网软件技术实验室 |
| Recommended Citation GB/T 7714 | Ruan Li,Wang Yongji,Wang Qing,et al. arimammse: an improved arima-based software productivity prediction method[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:30th Annual International Computer Software and Applications Conference, Vol 2, Short Papers/Workshops/Fast Abstracts/Doctoral Symposium, Proceedings,2006:135-138. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 04020157.pdf（148KB） | 开放获取 | -- | Application Full Text | |||
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