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Uncertainty in ERP Effort Estimation: A Challenge or an Asset?

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5338))

Abstract

Traditionally, software measurement literature considers the uncertainty of cost drivers in project estimation as a challenge and treats it as such. This paper develops the position that uncertainty can be seen as an asset. It draws on results of a case study in which we replicated an approach to balancing uncertainties of project context characteristics in requirements-based effort estimation for ERP implementations.

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References

  1. Arnesen, S., Thompson, J.: How to Budget for Enterprise Software, Strategic Finance, pp. 43–47 (January 2005)

    Google Scholar 

  2. Bardhan, I., Bafgci, S., Sougstad, R.: A Real Options Approach for Prioritization of a Portfolio of Information Technology Projects: a Case Study of a Utility Company. In: Proc. of the 37th Hawaii Int’l Conf. on Systems Sciences (2004)

    Google Scholar 

  3. Benchmarking Partners, A Status Report on ERP Implementation, USA (2007)

    Google Scholar 

  4. Boehm, B.: Software Cost Estimation with COCOMO II. Prentice Hall, Upper Saddle River (2000)

    Google Scholar 

  5. Chulani, S., Boehm, B., Steece, B.: Bayesian Analysis of Empirical Software Engineering Cost Models. IEEE Trans on SE 25(4), 573–583

    Google Scholar 

  6. Daneva, M.: Managing Uncertainty in ERP Effort Estimation Practice: an Industrial Case Study. In: Int’l Conference on Software Process and Product Improvement, Frascati. LNCS. Springer, Heidelberg (2008)

    Google Scholar 

  7. Daneva: Approaching the ERP Project Cost Estimation Problem: an Experiment. In: Int’. Symposium on Empirical Software Engineering and Measurement (ESEM), p. 500. IEEE Computer Society Press, Los Alamitos (2007)

    Chapter  Google Scholar 

  8. Daneva, M.: Measuring Reuse of SAP Requirements: a Model-based Approach. In: Proc. of Symposium on Software Reuse. ACM Press, NY (1999)

    Google Scholar 

  9. Daneva, M., Wieringa, R.J.: Cost Estimation for Cross-organizational ERP Projects: Research Perspectives. Journal of Software Quality (2008)

    Google Scholar 

  10. Fenton, N.E., Pfleeger, S.L.: Software Metrics: A Rigorous and Practical Approach, 2nd edn. PWS Publishing (1998)

    Google Scholar 

  11. Fewster, R.M., Mendes, E.: Portfolio Management Method for Deadline Planning. In: Proc. of METRICS 2003, pp. 325–336. IEEE, Los Alamitos (2003)

    Google Scholar 

  12. Francalanci, C.: Predicting the implementation effort of ERP projects: empirical evidence on SAP R/3. Journal of Information Technology 16, 33–48 (2003)

    Article  Google Scholar 

  13. Garvey, P.R.: Probability Methods for Cost Uncertainty Analysis—A Systems Engineering Perspective. Marcel Dekker Publ., New York (2000)

    MATH  Google Scholar 

  14. Gruschke, T.M., Jørgensen, M.: Assessing Uncertainty of Software Development Effort Estimates: Learning from Outcome Feedback. In: ACM Transactions on Software Engineering and Methodology (accepted, 2008)

    Google Scholar 

  15. Gupta, S., et al.: Considerations in Cost Risk Analysis: How the IC CAIG Handles Risk. In: SCEA 2002 National Conference, June 14 (2002)

    Google Scholar 

  16. Hansen, T.: Multidimensional Effort Prediction for ERP System Implementation. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2006 Workshops. LNCS, vol. 4278, pp. 1402–1408. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  17. Jiamthubthugsin, W., Sutivong, D.: Protfolio Management of Software Development Projects Using COCOMO II. In: Proc. of ICSE 2006, pp. 889–892 (2006)

    Google Scholar 

  18. Kitchenham, B.A., Pickard, L., Linkman, S., Jones, P.: Modelling Software Bidding Risks. IEEE Transactions on Software Engineering 29(6), 542–554 (2003)

    Article  Google Scholar 

  19. Koch, S.: ERP Implementation Effort Estimation Using Data Envelopment Analysis. In: Abramowicz, W., Mayr, H.C. (eds.) Technologies for Business Information Systems, pp. 121–132. Springer, Dordrecht (2007)

    Chapter  Google Scholar 

  20. Luo, W., Strong, D.M.: A Framework for Evaluating ERP Implementation Choices. IEEE Transactions on Engineering Management 5(3), 322–333 (2004)

    Article  Google Scholar 

  21. McDonald, P., Giles, S., Strickland, D.: Extensions of Auto-Generated Code and NOSTROMO Methodologies. In: Proc. of 19th Int. Forum on COCOMO, Los Angeles, CA,

    Google Scholar 

  22. Parthasarathy, S., Anbazhagan, N.: Evaluation ERP Implementation Choices Using AHP. International Journal of Enterprise Information Systems 3(3), 52–65 (2007)

    Article  Google Scholar 

  23. Plaza, M., Rohlf, K.: Learning and Performance in ERP Implementation Projects: a Learning-curve Model for Analyzing and Managing Consulting Costs. Journal of Production Economics 113, 1–14 (2008)

    Article  Google Scholar 

  24. Rettig, C.: The Trouble with Enterprise Systems. Sloan Management Review 49(1), 21–27 Fall (2007)

    Google Scholar 

  25. Stamelos, I., Angelis, L., Morosio, M., Sakellaris, E., Bleris, G.: Estimating the Development Cost of Custom Software. Information & Management 40, 729–741 (2003)

    Article  Google Scholar 

  26. Stensrud, E.: Alternative Approaches to Effort Prediction of ERP Projects. Inf. & Soft. Techn. 43(7), 413–423 (2001)

    Article  Google Scholar 

  27. Stensrud, E., Myrtveit, I.: Identifying High Performance ERP Projects. IEEE Trans. Software Engineering 29(5), 398–416 (2003)

    Article  Google Scholar 

  28. Summer, M.: Risk Factors in Enterprise Wide Information Systems Projects. In: Special Interest Group on Computer Personnel Research Annual Conference Chicago, Illinois, pp. 180–187

    Google Scholar 

  29. Taudes, A., Feurstein, M., Mild, A.: Options Analysis of Software Platform Decisions: a Case Study. MIS Quarterly 24(2), 227–243 (2000)

    Article  Google Scholar 

  30. Valerdi, R.: The Constructive Systems Engineering Cost Model (COSYSMO), Ph.D Dissertation, University of Southern California, Los Angeles, USA (May 2005)

    Google Scholar 

  31. Verhoef, C.: Quantitative IT Portfolio Management. Science of Computer Programming 45(1), 1–96 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  32. Wieringa, R.: Requirements Engineering Research Methodology: Principles and Practice. In: Tutorial at the Int’l Conference on Requirements Engineering (RE 2008), Spain (2008)

    Google Scholar 

  33. Wohlin, C.: Experimentation in Software Engineering. Springer (2000)

    Google Scholar 

  34. Yin, R.: Case Study Research, Design and Methods, 3rd edn. Sage Publications, Newbury Park (2002)

    Google Scholar 

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Daneva, M., Wettflower, S., de Boer, S. (2008). Uncertainty in ERP Effort Estimation: A Challenge or an Asset?. In: Dumke, R.R., Braungarten, R., Büren, G., Abran, A., Cuadrado-Gallego, J.J. (eds) Software Process and Product Measurement. Mensura MetriKon IWSM 2008 2008 2008. Lecture Notes in Computer Science, vol 5338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89403-2_18

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  • DOI: https://doi.org/10.1007/978-3-540-89403-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89402-5

  • Online ISBN: 978-3-540-89403-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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