A Rule-Based Approach to Prioritization of IT Work Requests Maximizing Net Benefit to the Business

  • Maher Rahmouni
  • Claudio Bartolini
  • Abdel Boulmakoul
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4824)

Abstract

With the growth of IT outsourcing opportunities, providers of managed IT services, such as HP, are compelled to exploit any possible economy of scale in dealing with emerging requirements of their customers. In this paper we present a methodology and a set of tools for enhanced executive decision support capability for the best allocation of scarce development resources through timelier and more accurate delivery of forecast indicators relative to the net benefit. Examples of such indicators are total forecast revenue for a bundle of work requests and total forecast cost reductions for a bundle of work requests. The tools deliver on reduced development cost and shorter time to value through the identification of synergies, duplication and commonality in work requests. For example, our approach will be able to identify in a reliable manner work that falls into these discrete categories pertaining to potential duplication thereby highlighting areas of potential cost reduction. Moreover they guarantee a reduced turn around time of delivery to trade customers through prioritization driven by net benefit and optimized release.

Keywords

IT oursourcing IT service management Work request prioritization 

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References

  1. 1.
    Akkermans, H., Baida, Z., Gordijn, J., Peiia, N., Laresgoiti, I.: Value Webs: using ontologies to bundle real-world services. IEEE Intelligent Systems, 19(4), 57–66 (2004)CrossRefGoogle Scholar
  2. 2.
    Basili, V., Briand, L., Condon, S., Kim, Y.M., Melo, W.L., Valen, J.D.: Understanding and predicting the process of software maintenance releases. In: ICSE 1996. Proc. 18th International Conference on Software Engineering, p. 464 (1996)Google Scholar
  3. 3.
    Carr, M., Wagner, C.: A Study of Reasoning Processes in Software Maintenance Management. Journal of Information Technology and Management 3(1,2), 181–203 (2002)CrossRefGoogle Scholar
  4. 4.
    Kaplan, R.S., Norton, D.P.: The Balanced Scorecard: Translating Strategy into Action. Harvard Business School Press (1996)Google Scholar
  5. 5.
    Bartolini, C., Sallé, M., Trastour, D.: IT service management driven by business objectives – an application to incident management. In: NOMS 2006. Proc. IEEE/IFIP Network Operation and Management Symposium, IEEE Computer Society Press, Los Alamitos (2006)Google Scholar
  6. 6.
    Forgy, C.: Rete: A Fast Algorithm for the Many Patterns/Many Objects Match Problem’. Artificial Intelligence Journal 19, 17–37 (1982)CrossRefGoogle Scholar
  7. 7.
    Pollack, S.L., Hicks, H.T., Harrison, W.J.: Decision tables: theory and practice. Wiley-Interscience, Chichester (1971)Google Scholar
  8. 8.
    JBoss Rules (URL last checked July 2007), www.jboss.com/products/rules

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Maher Rahmouni
    • 1
  • Claudio Bartolini
    • 2
  • Abdel Boulmakoul
    • 1
  1. 1.Hewlett-Packard Laboratories, BristolUK
  2. 2.Hewlett-Packard Laboratories, Palo AltoUSA

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