頁籤選單縮合
題名 | Assessing Software Reliability by Unrevealed Proportion Estimation in Stratified Sampling= |
---|---|
作者 | Yang, Mark C. K.; Chao, Anne; Chen, Y. C.; |
期刊 | 中國統計學報 |
出版日期 | 20070300 |
卷期 | 45:1 2007.03[民96.03] |
頁次 | 頁18-37 |
分類號 | 319 |
語文 | eng |
關鍵詞 | Undiscovered species; Proportional allocation; Software reliability; Software maintenance; Beta testing; |
英文摘要 | Suppose there is an unknown number of species in an area of interest. A sample is collected and all the animals are identified according to their species. The purpose is to estimate the proportion □ of the animals that belong to undiscovered species. Point and interval estimators for □ are derived when the area is stratified into K strata and observations are taken from each stratum. Use of proportional allocation is shown to be more efficient than simple random sampling. This model fits very well in software reliability estimation under beta testing, i.e., the software faults are detected by complaints from the users. Many difficult situations in software testing and reliability are overcome by this model. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。