Introduction and Motivation
Service-Oriented Computing (SOC) promotes the reuse of loosely coupled and distributed entities, namely services, and their automatic composition into value-added applications. An issue in SOC is to fulfill this promise with the development of models and algorithms supporting composition in an automatic (and automated) way, generating business processes from a set of available services and composition requirements, e.g., descriptions of end-user needs or business goals. Within the context of the widely accepted service-oriented architecture, i.e., Web services, this issue is currently known as the Web Service Composition (WSC) problem. WSC has been widely addressed in the past few years [15]. AI planning is increasingly applied to WSC due to its support for automatic composition from under-specified requirements [19]. An AI planning based algorithm usually provides a one-time solution, i.e., a plan, for a composition request. However, in the real and open world, change occurs frequently. Services may appear and disappear at any time in a unpredictable way, e.g., due to failure or the user mobility when services get out of reach. Service disappearance requires changing the original plan, and may cause some goals to be unreachable. End-user needs or business goals may also change over time. For example, one may want to add sightseeing functionality to a composition when arrived at a trip destination.
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Yan, Y., Poizat, P., Zhao, L. (2010). Repairing Service Compositions in a Changing World. In: Lee, R., Ormandjieva, O., Abran, A., Constantinides, C. (eds) Software Engineering Research, Management and Applications 2010. Studies in Computational Intelligence, vol 296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13273-5_2
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