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a fuzzy-based method for evaluating the trustworthiness of software processes
Zhang Haopeng; Shu Fengdi; Yang Ye; Wang Xu; Wang Qing
2010
会议名称International Conference on Software Process, ICSP 2010
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议日期44020
会议地点Paderborn, Germany
出版地Germany
ISSN3029743
ISBN3642143466
部门归属(1) Lab. for Internet Software Technologies, Institute of Software, Chinese Academy of Sciences, China; (2) Graduate University, Chinese Academy of Sciences, China; (3) Department of Software Engineering, Software College, NanKai University, China
摘要Software trustworthiness is built in its development and maintenance processes. Effective software measurement system can help to assess and predict the trustworthiness of end products in early software lifecycles in order to plan for proper corrective actions to meet trustworthiness objectives. However, it is a challenging task to aggregate individual metric data and derive a single, overall trustworthiness indicator given the hierarchies in software measurement system as well as heterogeneity within a mix of metric data. In addition, very few metric data can be collected precisely and without subjective judgment inherent in data reporters or collecting tools. In this paper, based on the theory of fuzzy set and the AHP method, we propose an evaluation method supporting fuzzy data and multiple types of values, for evaluating process trustworthiness in the form of user-customized levels. A case study is also presented to illustrate the application of our method. © 2010 Springer-Verlag.
关键词Analytic Hierarchy Process Computer Software Maintenance Fuzzy Set Theory Fuzzy Sets Hierarchical Systems Measurements Sandwich Structures Software Engineering
主办者University of Paderborn; Fraunhofer Inst. Exp. Softw. Eng. (IESE); Chinese Academy of Science (ISCAS)
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/8594
专题互联网软件技术实验室
推荐引用方式
GB/T 7714
Zhang Haopeng,Shu Fengdi,Yang Ye,et al. a fuzzy-based method for evaluating the trustworthiness of software processes[C]. Germany,2010.
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