Research on Software Failure Modes and Key Testing Methods of the Smart Meter

被引：1
|
作者：
Pang, Fukuan [1 ]
Cui, Wenwu [1 ]
Wang, Chen [1 ]
Han, Di [1 ]
Pan, Yi [2 ]
Wang, Pingping [2 ]
机构：
[1] State Grid JiBei Elect Power Co Ltd, Res Inst, Beijing 100045, Peoples R China
[2] Holley Technol Co Ltd, Hangzhou 310023, Zhejiang, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY | 2019年 / 1168卷
关键词：
D O I：
10.1088/1742-6596/1168/2/022026
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Software quality has become a key factor affecting the overall quality of the smart meter. To improve the reliability of the smart meter software, this paper studies the software failure modes and influence analysis of the smart meter based on SFMEA, analyzes software failure modes and mechanisms, and establishes fault-knowledge base; the key technologies of static testing, dynamic testing, black-box testing and white-box testing were carried out for different software failure modes. The test programs of the life cycle of the smart meter software and the support of the automated testing tools are designed to improve the breadth and depth of the software testing, improve the reliability, reduce the operational failure and improve the service level of the electricity.
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页数：7
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