Abstract
We present an efficient framework for managing changes in Long-term Composed Services (LCSs). Because we assume LCSs outsource their functionality from autonomous third-party Web service providers, there is a need to select the best Web service replacements when changes are induced at the LCS level. We propose a framework where managing changes in LCSs is modeled as a dual service query optimization process. In the first phase, reputation is used as a trust mechanism to weed out those Web services that do not exhibit acceptable reputation. In the second phase, the non-functional requirements represented in and by the Quality of Web Service (QoWS) are used to further narrow down the set of reputable Web services to those that also best adhere to the QoWS requirements.
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