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The Impact of Lack in Domain or Technology Experience on the Accuracy of Expert Effort Estimates in Software Projects

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Product-Focused Software Process Improvement (PROFES 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7343))

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Abstract

The study examines the impact of lack of experience in the domain problem or lack of experience with the technologies used in a software development project on the accuracy of single expert estimation of task effort, as measured by estimated versus actual effort. Expert judgment in the estimation of task effort is the most frequently used estimation technique for software projects. Estimators rely on their experience, business domain knowledge, and technical expertise. Occasionally, organizations lack experts on staff that have relevant prior experience on some business or technology related aspects of the project. This research investigates the impact of such incomplete expertise on the reliability of estimates.

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References

  1. Abdel-Hamid, T.K., Sengupta, K., Swett, C.: The impact of goals on software project management: An experimental investigation. MIS Quarterly, 531–555 (1999)

    Google Scholar 

  2. Agarwal, N., Rathod, U.: Defining ’success’ for software projects: An exploratory revelation. International Journal of Project Management 24(4), 358–370 (2006)

    Article  Google Scholar 

  3. Aranda, J., Easterbrook, S.: Anchoring and adjustment in software estimation. ACM SIGSOFT Software Engineering Notes 30(5), 346–355 (2005)

    Article  Google Scholar 

  4. Atkinson, R.: Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. International Journal of Project Management 17(6), 337–342 (1999)

    Article  Google Scholar 

  5. Barki, H., Rivard, S., Talbot, J.: Toward an assessment of software development risk. Journal of Management Information Systems 10(2), 203–225 (1993)

    Google Scholar 

  6. Brooks, F.P.: The mythical man-month: essays on software engineering, vol. 7. Addison-Wesley, Reading (1995)

    Google Scholar 

  7. De Wit, A.: Measurement of project success. International Journal of Project Management 6(3), 164–170 (1988)

    Article  Google Scholar 

  8. Eveleens, J., Verhoef, C.: The rise and fall of the chaos report figures. IEEE Software 27(1), 30–36 (2010)

    Article  Google Scholar 

  9. Eveleens, J.L., Verhoef, C.: Quantifying it forecast quality. Science of Computer Programming 74(11-12), 934–988 (2009)

    Article  MathSciNet  Google Scholar 

  10. Glass, R.L.: The standish report: does it really describe a software crisis? Communications of the ACM 49(8), 15–16 (2006)

    Article  Google Scholar 

  11. The Standish Group. Chaos report (1991)

    Google Scholar 

  12. Heemstra, F.J.: Software cost estimation. Information and Software Technology 34(10), 627–639 (1992)

    Article  Google Scholar 

  13. Hill, J., Thomas, L.C., Allen, D.E.: Experts’ estimates of task durations in software development projects. International Journal of Project Management 18(1), 13–21 (2000)

    Article  Google Scholar 

  14. Hughes, R.T.: Expert judgement as an estimating method. Information and Software Technology 38(2), 67–75 (1996)

    Article  Google Scholar 

  15. Jones, C.: Assessment and control of software risks (1994)

    Google Scholar 

  16. Jørgensen, M.: A review of studies on expert estimation of software development effort. Journal of Systems and Software 70(1-2), 37–60 (2004)

    Article  Google Scholar 

  17. Jørgensen, M.: Forecasting of software development work effort: Evidence on expert judgement and formal models. International Journal of Forecasting 23(3), 449–462 (2007)

    Article  Google Scholar 

  18. Jørgensen, M., Carelius, G.J.: An empirical study of software project bidding. IEEE Transactions on Software Engineering 30(12), 953–969 (2004)

    Article  Google Scholar 

  19. Jørgensen, M., Molokken-Ostvold, K.: How large are software cost overruns? A review of the 1994 chaos report. Information and Software Technology 48(4), 297–301 (2006)

    Article  Google Scholar 

  20. Jørgensen, M., Shepperd, M.: A systematic review of software development cost estimation studies. IEEE Transactions on Software Engineering 33(1), 33–53 (2007)

    Article  Google Scholar 

  21. Jørgensen, M., Sjøberg, D.I.K.: The impact of customer expectation on software development effort estimates. International Journal of Project Management 22(4), 317–325 (2004)

    Article  Google Scholar 

  22. Kulk, G.P., Peters, R.J., Verhoef, C.: Quantifying IT estimation risks. Science of Computer Programming 74(11-12), 900–933 (2009)

    Article  MathSciNet  Google Scholar 

  23. Lederer, A.L., Prasad, J.: Information systems software cost estimating: a current assessment. Journal of Information Technology 8(1), 22–33 (1993)

    Article  Google Scholar 

  24. Molokken, K., Jørgensen, M.: A review of surveys on software effort estimation, p. 223. IEEE Computer Society (2003)

    Google Scholar 

  25. Ropponen, J., Lyytinen, K.: Components of software development risk: How to address them? A project manager survey. IEEE Transactions on Software Engineering 26(2), 98–112 (2000)

    Article  Google Scholar 

  26. Roy, M.M., Christenfeld, N.J.S., McKenzie, C.R.M.: Underestimating the duration of future events: Memory incorrectly used or memory bias? Psychological Bulletin 131(5), 738 (2005)

    Article  Google Scholar 

  27. Schmidt, R., Lyytinen, K., Keil, M., Cule, P.: Identifying software project risks: An international delphi study. Journal of Management Information Systems 17(4), 5–36 (2001)

    Google Scholar 

  28. Verhoef, C.: Quantitative IT portfolio management. Science of Computer Programming 45(1), 1–96 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  29. Wateridge, J.: How can IS/IT projects be measured for success? International Journal of Project Management 16(1), 59–63 (1998)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Halstead, S., Ortiz, R., Córdova, M., Seguí, M. (2012). The Impact of Lack in Domain or Technology Experience on the Accuracy of Expert Effort Estimates in Software Projects. In: Dieste, O., Jedlitschka, A., Juristo, N. (eds) Product-Focused Software Process Improvement. PROFES 2012. Lecture Notes in Computer Science, vol 7343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31063-8_19

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  • DOI: https://doi.org/10.1007/978-3-642-31063-8_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31062-1

  • Online ISBN: 978-3-642-31063-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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