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Using Attributed Goal Graphs for Software Component Selection: An Application of Goal-Oriented Analysis to Decision Making
Yamamoto, K. and Saeki, M.
During software requirements analysis and design steps,
developers and stakeholders have many alternatives of artifacts
such as software component selection and should
make decisions to select best alternatives out of them.
There are two significant points to be considered for supporting
these decision making processes; 1) dependencies
among alternatives and 2) evaluation based on multicriteria
and their trade-off. This paper proposes the technique
to address the above two issues by using an extended
version of goal-oriented analysis. In goal-oriented analysis,
elicited goals and their dependencies are represented
with an AND-OR acyclic directed graph. We use this technique
to model the dependencies of the alternatives. Furthermore
we associate attribute values and their propagation
rules with nodes and edges in a goal graph in order to
model multi-criteria and to evaluate the alternatives with
them. |
Cite as: Yamamoto, K. and Saeki, M. (2007). Using Attributed Goal Graphs for Software Component Selection: An Application of Goal-Oriented Analysis to Decision Making. In Proc. Tutorials, posters, panels and industrial contributions at the 26th International Conference on Conceptual Modeling - ER 2007 Auckland, New Zealand. CRPIT, 83. Grundy, J., Hartmann, S., Laender, A. H. F., Maciaszek, L. and Roddick, J. F., Eds. ACS. 215-220. |
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