Abstract
In today's economy organizations have to continuously adapt to changing external requirements. This often necessitates the adoption of new technologies and consequently the implementation of new applications. As a result, enterprise architects struggle with increasingly complex application portfolios that are costly to maintain and operate. In order to adequately manage these application portfolios, a better understanding of the relation between business application characteristics and operation costs is required. In this research we therefore analyze data from 3656 business applications of a global automotive company to evaluate the effects of commonly conjectured application portfolio complexity drivers. Our results show that several application characteristics-in particular the number of supported interfaces, business processes, business data, and users-correlate with operation costs and with incident numbers. We furthermore find that these correlations differ significantly for different application types.
Link: http://ieeexplore.ieee.org/abstract/document/7780324/
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