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Agile Software Development: Principles, Patterns, and Practices
Model Driven Architecture: Applying MDA to Enterprise Computing
Model Driven Architecture: Applying MDA to Enterprise Computing
A Model-Driven Transformation Method
EDOC '03 Proceedings of the 7th International Conference on Enterprise Distributed Object Computing
Perspectives on Web Services: Applying SOAP, WSDL, and UDDI to Real-World Projects
Perspectives on Web Services: Applying SOAP, WSDL, and UDDI to Real-World Projects
Declarative techniques for model-driven business process integration
IBM Systems Journal
Service-Oriented Architecture: Concepts, Technology, and Design
Service-Oriented Architecture: Concepts, Technology, and Design
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ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Model-Driven Software Development: Technology, Engineering, Management
Model-Driven Software Development: Technology, Engineering, Management
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IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
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FMOODS'06 Proceedings of the 8th IFIP WG 6.1 international conference on Formal Methods for Open Object-Based Distributed Systems
ECSA'10 Proceedings of the 4th European conference on Software architecture
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Data & Knowledge Engineering
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Information Systems
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Distributed and Parallel Databases
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This paper explores the emerging paradigm of business-driven development, which presupposes a methodology for developing IT solutions that directly satisfy business requirements and needs. At the core of business-driven development are business processes, which are usually modeled by combining graphical and textual notations. During the business-driven development process, business-process models are taken down to the IT level, where they describe the so-called choreography of services in a Service-Oriented Architecture. The derivation of a service choreography based on a business-process model is simple and straightforward for toy examples only-for realistic applications, many challenges at the methodological and technical level have to be solved. This paper explores these challenges and describes selected solutions that have been developed by the research team of the IBM Zurich Research Laboratory.