Software architecture in practice
Software architecture in practice
Making Rational Decisions Using Adaptive Utility Elicitation
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Quality Attribute Design Primitives and the Attribute Driven Design Method
PFE '01 Revised Papers from the 4th International Workshop on Software Product-Family Engineering
The Golden Age of Software Architecture
IEEE Software
The art and science of software architecture
ECSA'07 Proceedings of the First European conference on Software Architecture
Stratified analytic hierarchy process: prioritization and selection of software features
SPLC'10 Proceedings of the 14th international conference on Software product lines: going beyond
Conditional preferences in software stakeholders' judgments
Proceedings of the 2011 ACM Symposium on Applied Computing
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A typical software architecture design process requires the architects to make various trade-off architecture decisions. The architects need to consider different possibilities and combinations of tactics and patterns to satisfy the elicited quality scenarios of the intended software system, some of which may be conflicting or inconsistent in nature. The formation of the correct composition of these elements of architecture decisions for the satisfaction of the quality scenarios can be considered an important art of the architect; however, in cases where the architect is dealing with multiple stakeholders with inconsistent preferences, this can be an awkward task. In this paper, we formalize this process as a complex multi-attribute decision making procedure within the Attribute Driven Design methodology. In such a context, we are able to incrementally elicit the communal preferences of the stakeholders with regards to the available quality scenarios and hence assist the software architect in methodically making the architecture decisions with the highest expected utility for the stakeholders.We will also introduce our implementation of a decision support system, which embodies the methods proposed in this paper, along with a case study.