Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Quantifying the costs and benefits of architectural decisions
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
A quality-driven systematic approach for architecting distributed software applications
Proceedings of the 27th international conference on Software engineering
Software development with imperfect information
Soft Computing - A Fusion of Foundations, Methodologies and Applications
The Palladio component model for model-driven performance prediction
Journal of Systems and Software
ArcheOpterix: An extendable tool for architecture optimization of AADL models
MOMPES '09 Proceedings of the 2009 ICSE Workshop on Model-Based Methodologies for Pervasive and Embedded Software
Software engineering in an uncertain world
Proceedings of the FSE/SDP workshop on Future of software engineering research
Architecture-based reliability evaluation under uncertainty
Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS
Taming uncertainty in self-adaptive software
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Model-based performance analysis of software architectures under uncertainty
Proceedings of the 9th international ACM Sigsoft conference on Quality of software architectures
GuideArch: guiding the exploration of architectural solution space under uncertainty
Proceedings of the 2013 International Conference on Software Engineering
Dynamic decision networks for decision-making in self-adaptive systems: a case study
Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
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Changing early architectural decisions of a system is both difficult and costly. It is very important for the architect to get them "right". However, in early design, the architect is often forced to make these decisions under uncertainty, i.e., not knowing the precise impact of those decisions on system's properties (e.g., scalability) as well as stakeholder concerns (e.g., cost). In this paper, we provide an overview of GuideArch, a framework aimed at systematic exploration of the architectural solution space under uncertainty to help with making early architectural decisions.