Tropos: An Agent-Oriented Software Development Methodology
Autonomous Agents and Multi-Agent Systems
Amoeba: A methodology for modeling and evolving cross-organizational business processes
ACM Transactions on Software Engineering and Methodology (TOSEM)
Specification by refinement and agreement: designing agent interaction using landmarks and contracts
ESAW'02 Proceedings of the 3rd international conference on Engineering societies in the agents world III
A value-oriented approach to E-business process design
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
Towards a reference ontology for business models
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Requirements-Driven Collaborative Choreography Customization
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Modeling and reasoning about service-oriented applications via goals and commitments
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Analyzing contract robustness through a model of commitments
AOSE'10 Proceedings of the 11th international conference on Agent-oriented software engineering
Relating goal and commitment semantics
ProMAS'11 Proceedings of the 9th international conference on Programming Multi-Agent Systems
Communicative commitments: Model checking and complexity analysis
Knowledge-Based Systems
| Hi-index | 0.00 |
This paper motivates a novel metamodel and methodology for specifying cross-organizational business interactions that is based on Tropos. Current approaches for business modeling are either high-level and semiformal or formal but low-level. Thus they fail to support flexible but rigorous modeling and enactment of business processes. This paper begins from the well-known Tropos approach and enhances it with commitments. It proposes a natural metamodel based on commitments and a methodology for specifying a business model. This paper includes an insurance industry case study that several researchers have previously used.