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A Method of Selecting Test Metrics for Certifying Package Software using Bayesian Belief Network  

Lee, Chong-Won (서울대학교 전기.컴퓨터공학부)
Lee, Byung-Jeong (서울시립대학교 컴퓨터공학부)
Oh, Jae-Won (삼성전자 모바일연구소)
Wu, Chi-Su (서울대학교 전기.컴퓨터공학부)
Publication Information
Journal of KIISE:Software and Applications / v.33, no.10, 2006 , pp. 836-850 More about this Journal
Abstract
Nowadays, due to the rapidly increasing number of package software products, quality test has been emphasized for package software products. When testing software products, one of the most important factors is to select metrics which form the bases for tests. In this paper, the types of package software are represented as characteristic vectors having probabilistic relationships with metrics. The characteristic vectors could be regarded as indicators of software type. To assign the metrics for each software type, the past test metrics are collected and analyzed. Using Bayesian belief network, the dependency relationship network of the characteristic vectors and metrics is constructed. The dependency relationship network is then used to find the proper metrics for the test of new package software products.
Keywords
package software product; characteristic vector; metric; Bayesian belief network;
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