DocumentCode :
2442314
Title :
Quantifying software architectures: an analysis of change propagation probabilities
Author :
Abdelmoez, W. ; Shereshevsky, M. ; Gunnalan, R. ; Ammar, H.H. ; Yu, Bo ; Bogazzi, S. ; Korkmaz, M. ; Mili, A.
Author_Institution :
Lane Dept. of Comput. Sci., West Virginia Univ., Morgantown, WV, USA
fYear :
2005
fDate :
2005
Firstpage :
124
Abstract :
Summary form only given. 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.
Keywords :
probability; software architecture; change propagation probabilities; software architectures; software development; software engineering; Acoustic propagation; Computer architecture; Computer science; NASA; Programming; Software architecture; Software engineering; Software metrics; Software quality; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications, 2005. The 3rd ACS/IEEE International Conference on
Print_ISBN :
0-7803-8735-X
Type :
conf
DOI :
10.1109/AICCSA.2005.1387113
Filename :
1387113
Link To Document :
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