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Inter-Dimensional Traceability and Intelligence Mining for Complex System Improvement

Complex service-oriented Business-IT systems are difficult to improve locally and the related challenges contribute to the high rate of ’unsuccessful’ IT projects. This paper discusses the motivation for establishing inter-dimensional traceability and identifies the enterprise elements and associations that are necessary to analyze and improve. These issues are addressed here by proposing an ’Adaptive Complex Enterprise’ framework for performance improvement of service-oriented enterprises based on enterprise-level traceability. This framework allows us to use available modeling, monitoring, simulation and mining tools for the different aspects of complex enterprise systems in an integrated fashion based on the enterprise ontology. The resulting traceability across the different dimensions in a complex enterprise is leveraged through a cycle of continuous improvement addressing the numerous service Requests with services provided, in turn, by a large number of associated enterprise elements. This also leads to an integrated context for decision making. The City Strategic Planning-and-Execution example is used to illustrate the framework and how it supports continuous improvement using traceability. Authors - Farha Mukri, Kelly Yackovich, Dr Jay Ramanathan, Dr Rajiv Ramnath

OSU-CISRC-409-TR14 Inter-Dimensional Traceability and Intelligence Mining for Complex Systems.pdf — PDF document, 931Kb

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