Data Collection Prioritization for System Quality Analysis

被引：19

作者：

Narman, Per ^{[1
]}

Johnson, Pontus ^{[1
]}

Lagerstrom, Robert ^{[1
]}

Franke, Ulrik ^{[1
]}

Ekstedt, Mathias ^{[1
]}

机构：

[1] Royal Inst Technol, Ind Informat & Control Syst, Stockholm, Sweden

来源：

ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE | 2009年 / 233卷

关键词：

System Quality Analysis; Bayesian Networks; Data collection Strategies;

D O I：

10.1016/j.entcs.2009.02.059

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

When assessing software quality the cost of collecting the data needed for analysis is often quite substantial. This paper proposes the use of Bayesian networks for assessing software qualities combined with an algorithm for how to prioritize which data to collect in order to minimize the cost of the assessment. This algorithm, the Diagnosis algorithm, is implemented in the Bayesian network tool 'GeNIe'. An example evaluation of service interoperability in the paper demonstrates that using the algorithm may reduce time spent on data collection significantly.

引用

页码：29 / 42

页数：14

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