One of the major challenges for Enterprise Application Integration (EAI) process modeling tools is the continuous adaptation of the business processes and services. Business and IT specialists are both confronted with a number of problems involved in the adaptation of such processes, such as the lack of support for process lifecycle management, data and functional interoperability problems or the appropriate service knowledge base. Currently, most service engineering methods adopt a lifecycle strategy for the design, implementation, deployment and evaluation of services. However, enterprises exploiting service reusability lack the knowledge on process dependencies across the entire service lifecycle. This knowledge is required by process modeling tools in order to keep EAI processes loosely-coupled. Using a provenance data model we describe the different types of service dependencies in EAI processes with regard to the service changes across its lifecycle. We present a provenance-aware service repository with provenance subscription capabilities and its adoption for different use cases in the manufacturing domain.