Probabilistic networks for verifying automated testing of high speed telecommunication equipment through the development lifecycle

被引：0

作者：

Sterritt, R ^{[1
]}

Adamson, K ^{[1
]}

Curran, EP ^{[1
]}

Shapcott, CM ^{[1
]}

机构：

[1] Univ Ulster, Newtownabbey BT37 0QB, North Ireland

来源：

SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5 | 2000年

关键词：

Bayesian Belief Networks; automated testing; intelligent systems; telecommunication networks;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Learning probabilistic networks for expert system applications has seen a great surge of research activity in recent years. This paper reports on the adoption of probabilistic networks for verifying the pass/fail result of automated testing at the software verification stage in the development lifecycle of high-speed telecommunications equipment. The focus is on learning Bayesian Belief Networks (BBNs) from automated test data on a per test execution basis. This facilitates result classification and assurance, taking advantage or their graphical nature to provide accountability of the decision.

引用

页码：465 / 471

页数：7

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