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
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