Human Behavior and Interactions in Web Environments
نویسنده
چکیده
Business system designers want to integrate heterogeneous legacy systems to provide flexible business ser-vices cheaper and faster. Unfortunately, modern integration technologies represent important integrationknowledge only implicitly making solutions harder to understand, verify, and maintain. In this paper wepropose a data-driven approach, “Semantically-Enabled Externalization of Knowledge” (SEEK), that expli-citly models the semantics of integration requirements & capabilities, and data transformations between he-terogeneous legacy systems. Goal of SEEK is to make the systems integration process more efficient byproviding tool support for quality assurance (QA) steps and generation of system configurations. Based onuse cases from industry partners, we compare the SEEK approach with UML-based modeling. In the evalua-tion context SEEK was found to be more effective to make expert knowledge on system requirements andcapabilities available for more efficient tool support and reuse.
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