Quantifying software architectures: An analysis of change propagation probabilities
Document Type
Conference Proceeding
Publication Date
12-1-2005
Abstract
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. © 2005 IEEE.
Identifier
33746513755 (Scopus)
ISBN
[078038735X, 9780780387355]
Publication Title
3rd ACS IEEE International Conference on Computer Systems and Applications 2005
External Full Text Location
https://doi.org/10.1109/AICCSA.2005.1387113
First Page
687
Last Page
694
Volume
2005
Recommended Citation
Abdelmoez, W.; Shereshevsky, M.; Gunnalan, R.; Ammar, H. H.; Yu, Bo; Bogazzi, S.; Korkmaz, M.; and Mill, A., "Quantifying software architectures: An analysis of change propagation probabilities" (2005). Faculty Publications. 19451.
https://digitalcommons.njit.edu/fac_pubs/19451
