Goal-directed requirements acquisition
6IWSSD Selected Papers of the Sixth International Workshop on Software Specification and Design
From object-oriented to goal-oriented requirements analysis
Communications of the ACM
Performance and scalability of EJB applications
OOPSLA '02 Proceedings of the 17th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Representing and Using Nonfunctional Requirements: A Process-Oriented Approach
IEEE Transactions on Software Engineering - Special issue on knowledge representation and reasoning in software development
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
AGORA: Attributed Goal-Oriented Requirements Analysis Method
RE '02 Proceedings of the 10th Anniversary IEEE Joint International Conference on Requirements Engineering
A framework for the measurement of software quality
Proceedings of the software quality assurance workshop on Functional and performance issues
Goal-Oriented Requirements Engineering: A Guided Tour
RE '01 Proceedings of the Fifth IEEE International Symposium on Requirements Engineering
Improving the detection of requirements discordances among stakeholders
Requirements Engineering
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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 multi-criteria 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.