Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
Autonomous Agents and Multi-Agent Systems
Towards Modeling and Reasoning Support for Early-Phase Requirements Engineering
RE '97 Proceedings of the 3rd IEEE International Symposium on Requirements Engineering
Designing information systems in social context: a goal and scenario modelling approach
Information Systems - Special issue: The 14th international conference on advanced information systems engineering (CAiSE*02)
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Service Selection Algorithms for Web Services with End-to-End QoS Constraints
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
A Framework and Ontology for Dynamic Web Services Selection
IEEE Internet Computing
Towards a service requirements modelling ontology based on agent knowledge and intentions
International Journal of Agent-Oriented Software Engineering
i*-prefer: optimizing requirements elicitation process based on actor preferences
Proceedings of the 2009 ACM symposium on Applied Computing
Requirements trade-offs analysis in the absence of quantitative measures: a heuristic method
Proceedings of the 2011 ACM Symposium on Applied Computing
System identification for adaptive software systems: a requirements engineering perspective
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Comparing alternatives for analyzing requirements trade-offs - In the absence of numerical data
Information and Software Technology
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Service, as a computing and business paradigm, is gaining daily growing attention, which is being recognized and adopted by more and more people. For all involved players, it is inevitable to face service selection situations where multiple qualities of services criteria needs to be taken into account, and complex interrelationships between different impact factors and actors need to be understood and traded off. In this paper, we propose using goal and agent-based preference models, represented with annotated NFR/i* framework to drive these decision making activities. Particularly, we present how we enhance the modeling language with quantitative preference information based on input from domain experts and end users, how softgoals interrelationships graph can be used to group impact factors with common focus, and how actor dependency models can be used to represent and evaluate alternative services decisions. We illustrate the proposed approach with an example scenario of provider selection for logistics.