The Trustworthiness Measurement Model of Component-Based Software Based on Combination Weight

被引:0
作者
Ma, Yanfang [1 ,2 ]
Gao, Xiaotong [2 ]
Zhou, Wei [2 ]
机构
[1] Changzhou Inst Technol, Changzhou, Jiangsu, Peoples R China
[2] Huaibei Normal Univ, Huaibei, Peoples R China
来源
ARTIFICIAL INTELLIGENCE LOGIC AND APPLICATIONS, AILA 2022 | 2022年 / 1657卷
基金
中国国家自然科学基金;
关键词
Trustworthiness; Component-based software; Measurement; Weight;
D O I
10.1007/978-981-19-7510-3_20
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Software trustworthiness is an important indicator to assess the quality of software and can be portrayed by the attributes of the software. The different attribute produces different influence on the software quality. Therefore, it is important to study the weight allocation for different attributes to measure software trustworthiness reasonably. Usually, the weight of trustworthy attributes is affected by two aspects, one is the assessment of experts and the other is the hidden information in attributes. The component-based software has become popular in the field of software engineering due to its advantages. So a trustworthiness measurement model of component-based software is proposed by combining the weights. Firstly, a new method of weight allocation for trustworthy attributes is proposed based on Fuzzy Analytical Hierarchy Process and the grey correlation method. Secondly, the trustworthiness measurement model of component-based software will be established based on the combination structures of components. Finally, the station ticketing system is used to illustrate the rationality of the model.
引用
收藏
页码:270 / 285
页数:16
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