Nothing Special   »   [go: up one dir, main page]

Skip to main content
Log in

Using Students as Subjects—A Comparative Study of Students and Professionals in Lead-Time Impact Assessment

  • Published:
Empirical Software Engineering Aims and scope Submit manuscript

Abstract

In many studiesin software engineering students are used instead of professionalsoftware developers, although the objective is to draw conclusionsvalid for professional software developers. This paper presentsa study where the difference between the two groups is evaluated.People from the two groups have individually carried out a non-trivialsoftware engineering judgement task involving the assessmentof how ten different factors affect the lead-time of softwaredevelopment projects. It is found that the differences are onlyminor, and it is concluded that software engineering studentsmay be used instead of professional software developers undercertain conditions. These conditions are identified and describedbased on generally accepted criteria for validity evaluationof empirical studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Cook, T. D., and Campbell, D. T. 1979. Quasi-Experimentation—Design and Analysis Issues for Field Settings. Houghton Miffilin Company.

  • Fenton, N., and Pfleeger, S. L. 1996. Software Metrics—A Rigorous & Practical Approach, Second Edition. London, UK: International Thomson Computer Press.

    Google Scholar 

  • Karlsson, J., and Ryan, K. 1997. A cost-value approach for prioritizing requirements. IEEE Software, September/October: 67-74.

  • Moynihan, T. 1997. How experienced project managers assess risk. IEEE Software, May/June: 35-41.

  • Pickard, L. M., Kitchenham, B. A., and Jones, P. W. 1998. Combining empirical results in software engineering. Information and Software Technology. 40(11): 811-821.

    Google Scholar 

  • Porter, A., Votta, L., and Basili, V. R. 1995. Comparing detection methods for software requirements inspection: A replicated experiment. IEEE Transactions on Software Engineering, 216: 563-575.

    Google Scholar 

  • Porter, A., Votta, L. 1998. Comparing detection methods for software requirements inspection: A replication using professional subjects. Empirical Software Engineering, 3(4): 355-380.

    Google Scholar 

  • Reel, J. S. 1999. Critical success factors in software projects. IEEE Software, May/June: 18-23.

  • Robson, C. 1993. Real World Research. UK: Blackwell Publishers Ltd.

    Google Scholar 

  • Saaty, T. 1980. The Analytic Hierarchy Process. McGraw-Hill.

  • Siegel, S., and Castellan, N. J. 1988. Nonparametric Statistics for the Behavioral Sciences. McGraw-Hill.

  • Wohlin, C., and Ahlgren, M. 1995. Soft factors and their impact on time to market. Software Quality Journal, 4: 189-205.

    Google Scholar 

  • Wohlin, C., Runeson, P., Höst, M., Ohlsson, M. C., Regnell, B., and Wesslén, A. 2000. Experimentation in Software Engineering: An Introduction. Kluwer Academic Publishers.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Höst, M., Regnell, B. & Wohlin, C. Using Students as Subjects—A Comparative Study of Students and Professionals in Lead-Time Impact Assessment. Empirical Software Engineering 5, 201–214 (2000). https://doi.org/10.1023/A:1026586415054

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1026586415054

Keywords

Navigation