Planning with a language for extended goals
Eighteenth national conference on Artificial intelligence
Extending BPEL for Run Time Adaptability
EDOC '05 Proceedings of the Ninth IEEE International EDOC Enterprise Computing Conference
AO4BPEL: An Aspect-oriented Extension to BPEL
World Wide Web
Enabling Adaptation of Pervasive Flows: Built-in Contextual Adaptation
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Capturing variability in business process models: the Provop approach
Journal of Software Maintenance and Evolution: Research and Practice - Best papers from the BPM 2008 Workshops
A formalisation of adaptable pervasive flows
WS-FM'09 Proceedings of the 6th international conference on Web services and formal methods
A framework for rule-based dynamic adaptation
TGC'10 Proceedings of the 5th international conference on Trustworthly global computing
An aspect-oriented framework for service adaptation
ICSOC'06 Proceedings of the 4th international conference on Service-Oriented Computing
ICSOC'06 Proceedings of the 4th international conference on Service-Oriented Computing
Dynamic Adaptation of Fragment-Based and Context-Aware Business Processes
ICWS '12 Proceedings of the 2012 IEEE 19th International Conference on Web Services
ASTRO-CAptEvo: Dynamic Context-Aware Adaptation for Service-Based Systems
SERVICES '12 Proceedings of the 2012 IEEE Eighth World Congress on Services
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Run-time adaptability is a key feature of dynamic business environments, where the processes need to be constantly refined and restructured to deal with context changes. In this paper, we present CAptLang, a language to model context-aware and adaptable business processes where the main feature is the possibility of leaving the handling of extraordinary or improbable situations to run time. We present CAptLang with its formal syntax and semantics. Moreover we show how its semantics have been used to guide the implementation of a Java-based business processes execution engine, component of the ASTRO-CAptEvo adaptation framework.