Quantifying Software Architectures: An Analysis of Change Propagation Probabilities

被引：0
作者：
Abdelmoez, W. [1 ]
Shereshevsky, M. [1 ]
Gunnalan, R. [1 ]
Ammar, H. H. [1 ]
Yu, Bo
Bogazzi, S.
Korkmaz, M.
Mili, A.
机构：
[1] W Virginia Univ, Lane Dept Comp Sci, Morgantown, WV 26506 USA
来源：
3RD ACS/IEEE INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, 2005 | 2005年
关键词：
Software architectures; software engineering; software metrics; software maintenance; change propagation probability;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Software architectures are an emerging discipline in software engineering as they play a central role in many modern software development paradigms. Quantifying software architectures is an important research agenda. as it allows software architects to subjectively assess quality attributes and rationalize architecture-related decisions. In this paper we discuss the attribute of change propagation probability, which reflects the likelihood that a change that arises in one component of the architecture propagates (i.e. mandates changes) to other components.
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页数：8
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