Author:
Podgurski Andy,Yang Charles
Abstract
We present a new approach to reducing the manual labor required to estimate software reliability. It combines the ideas of
partition testing
methods with those of
stratified sampling
to reduce the sample size necessary to estimate reliability with a given degree of precision. Program executions are stratified by using automatic
cluster analysis
to group those with
similar features
. We describe the conditions under which stratification is effective for estimating software reliability, and we present preliminary experimental results suggesting that our approach may work well in practice.
Publisher
Association for Computing Machinery (ACM)
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献