Estimation of software reliability by stratified sampling

被引：30
|
作者：
Podgurski, A
Masri, W
McCleese, Y
Wolff, FG
Yang, C
机构：
[1] Case Western Reserve Univ, Dept Elect Engn & Comp Sci, Cleveland, OH 44106 USA
[2] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
来源：
ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY | 1999年 / 8卷 / 03期
关键词：
reliability; beta testing; cluster analysis; operational testing; software reliability; software testing; statistical testing; stratified sampling;
D O I：
10.1145/310663.310667
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
A new approach to software reliability estimation is presented that combines operational testing with stratified sampling in order to reduce the number of program executions that must be checked manually for conformance to requirements. Automatic cluster analysis is applied to execution profiles in order to stratify captured operational executions. Experimental results are reported that suggest this approach can significantly reduce the cost of estimating reliability.
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页码：263 / 283
页数：21
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