The Community for Technology Leaders
2013 35th International Conference on Software Engineering (ICSE) (2013)
San Francisco, CA, USA
May 18, 2013 to May 26, 2013
ISBN: 978-1-4673-3073-2
pp: 43-52
Naeem Esfahani , Department of Computer Science, George Mason University, Fairfax, Virginia, USA
Sam Malek , Department of Computer Science, George Mason University, Fairfax, Virginia, USA
Kaveh Razavi , Department of Computer Science, George Mason University, Fairfax, Virginia, USA
ABSTRACT
A system's early architectural decisions impact its properties (e.g., scalability, dependability) as well as stakeholder concerns (e.g., cost, time to delivery). Choices made early on are both difficult and costly to change, and thus it is paramount that the engineer gets them “right”. This leads to a paradox, as in early design, the engineer is often forced to make these decisions under uncertainty, i.e., not knowing the precise impact of those decisions on the various concerns. How could the engineer make the “right” choices in such circumstances? This is precisely the question we have tackled in this paper. We present GuideArch, a framework aimed at quantitative exploration of the architectural solution space under uncertainty. It provides techniques founded on fuzzy math that help the engineer with making informed decisions.
INDEX TERMS
Uncertainty, Computer architecture, Batteries, Synthetic aperture sonar, Time factors, Software engineering, Hardware,Decision Making, Software Architecture, Uncertainty
CITATION
Naeem Esfahani, Sam Malek, Kaveh Razavi, "GuideArch: Guiding the exploration of architectural solution space under uncertainty", 2013 35th International Conference on Software Engineering (ICSE), vol. 00, no. , pp. 43-52, 2013, doi:10.1109/ICSE.2013.6606550
92 ms
(Ver 3.3 (11022016))