Quantifying the complexity of IT service management processes

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Abstract

Enterprises and service providers are increasingly looking to process-based automation as a means of containing and even reducing the labor costs of systems management. However, it is often hard to quantify and predict the additional complexity introduced by IT service management processes before they actually have been deployed. Our approach consists in looking at this problem from a different, new perspective by regarding complexity as a surrogate for potential labor cost and humanerror-induced problems: In order to effectively evaluate the benefits of IT service management processes - and to target the types of processes that contribute most to management complexity and cost - we need a set of metrics for quantifying the complexity and human cost of carrying out IT service management processes. This paper proposes such measures, and demonstrates how they can be applied to a typical service delivery process in order to assess its complexity hotspots as a basis for process re-engineering. © IFIP International Federation for Information Processing 2006.

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APA

Diao, Y., & Keller, A. (2006). Quantifying the complexity of IT service management processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4269 LNCS, pp. 61–73). Springer Verlag. https://doi.org/10.1007/11907466_6

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