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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6428))

Abstract

Enhancing competitiveness, shortening the response time to environmental changes, increasing profits and so forth are all goals that refer to the same concept: ‘improvement’. Yet, these elements are bounded to the same necessity: ‘measurement’. On such bases, this work intends to provide an operative framework which, using many heterogeneous typologies of tools and technologies, would enable enterprises to define, formalize and model key performance indicators (KPIs) according to Model Driven Architecture (MDA) vision. The tools required for achieving this goal belong to different categories, according to the particular step of the framework: the theories for identification of KPIs are the balanced scorecard (BSc) and the goal question metric (GQM); process modeling is realized trough BPMN (Business Process Modeling Notation); KPIs were modeled using semantics of business vocabulary and business rules (SBVR), so as to enable automatic parsing, according to MDA vision. Finally, the mathematical formulas were represented in machine readable format through MathML.

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References

  1. Damiani, E., et al.: SAF: Strategic Alignment Framework for monitoring Organization (2008)

    Google Scholar 

  2. Han, K.H., Kang, J.G., Song, M.: Two-stage process analysis using the process-based performance measurement framework and business process simulation (2008)

    Google Scholar 

  3. Junginger, K., Bayer, K.: Workflow-based Business Monitoring. In: Fischer, L. (ed.) Workflow Management Coalition: Workflow Handbook, pp. 65–80 (2004)

    Google Scholar 

  4. Lichka, C.: Strategic Monitoring and Alignment to Achieve Business Process Best Practices DEXXA (2005)

    Google Scholar 

  5. Browne, J., Devlin, J., Rolstadas, A., Andersen, B.: Performance Measurement: The ENAPS Approach

    Google Scholar 

  6. Franceschini, F., Galetto, M., Maisano, D.: Indicatori e misure di prestazione per la gestione dei processi Ed. Il sole24ore

    Google Scholar 

  7. Thomas, M., McGarry, F.: Top-down vs. Bottom-up Process Improvement. IEEE Software 11(7), 12–13 (1994)

    Article  Google Scholar 

  8. Pfleeger, S.L., Rombach, H.D.: Measurement-based process improvement. IEEE Software 11(7), 8–11 (1994)

    Article  Google Scholar 

  9. Basili, V.B., Caldiera, G., Rombach, H.D.: Experience Factory, Encyclopædia of Software Engineering, pp. 469–476. Wiley, Chichester (1994)

    Google Scholar 

  10. Kaplan, R., Norton, D.: The Balanced scorecard – Measures that drive Performance (1992)

    Google Scholar 

  11. Basili, V.R., Caldiera, G., Rombach, H.D.: The Goal Question Metric Approach (1994)

    Google Scholar 

  12. Buglione, L., Abran, A.: Balanced Scorecards And GQM: What Are The Differences? (2000)

    Google Scholar 

  13. Lambert, D.M., Pholen, T.L.: Supply Chain Metrics. International Journal of Logistics Management (2001)

    Google Scholar 

  14. Essiga, M., Dorobekb, S.: Adapting the Balanced Scorecard to Public Supply Chain Management (2001)

    Google Scholar 

  15. Brewer, C., Speh, W.: Using the balanced scorecard to measure supply chain performance. Journal of Business Logistics 21(1), 75–93 (2000)

    Google Scholar 

  16. Basili, V., Heidrich, J., Lindvall, M., Munch, J., Regardie, M., Trendowicz, A.: Gqm+ strategies – aligning business strategies with software measurement. In: First International Symposium, Empirical Software Engineering and Measurement, ESEM September 20-21, pp. 488–490 (2007)

    Google Scholar 

  17. Franceschini, F., Galetto, M., Maisano, D.: Indicatori e misure di prestazione per la gestione dei processi sole24ore, 2nd edn.

    Google Scholar 

  18. OMG, MDA Guide, version 1.0 (2003)

    Google Scholar 

  19. Corallo, A., Passiante, G., Prencipe, A.: The Digital Business Ecosystem. Edward Elgar Publishing (2007)

    Google Scholar 

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Caputo, E., Corallo, A., Damiani, E., Passiante, G. (2010). KPI Modeling in MDA Perspective. In: Meersman, R., Dillon, T., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2010 Workshops. OTM 2010. Lecture Notes in Computer Science, vol 6428. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16961-8_59

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  • DOI: https://doi.org/10.1007/978-3-642-16961-8_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16960-1

  • Online ISBN: 978-3-642-16961-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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