Skip to main content
Log in

The effect of experience on the test-driven development process

  • Published:
Empirical Software Engineering Aims and scope Submit manuscript

Abstract

We conducted a quasi-experiment to compare the characteristics of experts’ and novices’ test-driven development processes. Our novices were 11 computers science students who participated in an Extreme Programming lab course, the expert group consisted of seven professionals who had industrial experience in test-driven development. The novices as well as two of the experts worked in a laboratory environment whereas the remaining five experts worked in their office. The experts complied more to the rules of test-driven development and had shorter test-cycles than the novices. The tests written by the experts were of higher quality in terms of statement and block coverage as well. All reported results are statistically significant on the 5% level. We conclude that the results of studies which evaluate performance of test-driven development using subjects inexperienced in TDD are not easily generalisable.

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

Access this article

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

  • Beck K (2002) Test driven development: by example. Addison-Wesley

  • Bhat T, Nagappan N (2006) Evaluating the efficacy of test-driven development: industrial case studies. In: Proceedings of the 2006 international symposium on empirical software engineering (ISESE’06), Rio de Janeiro, Brazil, September 2006. ACM Press, pp 356–363

  • Canfora G, Cimitile A, Garcia F, Piattini M, Visaggio CA (2006) Evaluating advantages of test driven development: a controlled experiment with professionals. In: Proceedings of the 2006 international symposium on empirical software engineering (ISESE’06), Rio de Janeiro, Brazil, September 2006. ACM Press, pp 364–371

  • Cohen J (1988) Statistical power analysis for the behavioral sciences. Academic

  • Erdogmus H, Morisio M, Torchiano M (2005) On the effectiveness of the test-first approach to programming. IEEE Trans Software Eng 31(3):226–237, March

    Article  Google Scholar 

  • Erdogmus H, Wang Y (2004) The role of process measurement in test-driven development. In: Proceeding of XP Agile Universe 2004: 4th conference on extreme programming and agile methods, Calgary, Canada, August

  • Fowler M (1999) Refactoring: improving the design of existing code. Addison-Wesley

  • George B, Williams L (2003) An initial investigation of test driven development in industry. In: ACM symposium on applied computing, Melbourne, FL, USA, pp 1135–1139

  • Geras A, Smith M, Miller J (2004) A prototype empirical evaluation of test driven development. In: International symposium on software metrics (Metrics), Chicago, IL, USA, pp 405–416, September

  • Hollander M, Wolfe D (1999) Nonparametric statistical methods. Wiley, 2nd edn

  • Link J (2003) Unit testing in Java: how tests drive the code. Morgan Kaufmann

  • Link J (2005) Softwaretest mit JUnit: techniken der testgetriebenen Entwicklung. dpunkt.verlag

  • Mackinnon T, Freeman S, Craig P (2000) Endo-testing: unit testing with mock objects. In: Extreme programming and flexible processes in software engineering—XP2000, Cagliari, Sardinia, Italy, June

  • Malpohl G, Hunt J, Tichy W (2000) Renaming detection. In: Automated software engineering, Grenoble, France, pp 73–80, September

  • Müller M, Hagner O (2002) Experiment about test-first programming. IEE Proc Software 149(5):131–136, October

    Article  Google Scholar 

  • Müller M, Link J, Sand R, Malpohl G (2004) Extreme programming in curriculum: experiences from academia and industry. In: Conference on extreme programming and agile processes in software engineering (XP2004), Garmisch-Partenkirchen, Germany, pp 294–302, June

  • Pančur M, Ciglarič M, Trampuš M, Vidmar T (2003) Towards empirical evaluation of test-driven development in a university environment. In: EUROCON 2003. Computer as a Tool. The IEEE Region 8, vol 2, pp 83–86, September

  • Shadish W, Cook T, Campbell D (2002) Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matthias M. Müller.

Additional information

Editor: Natalia Juristo

Rights and permissions

Reprints and permissions

About this article

Cite this article

Müller, M.M., Höfer, A. The effect of experience on the test-driven development process. Empir Software Eng 12, 593–615 (2007). https://doi.org/10.1007/s10664-007-9048-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10664-007-9048-2

Keywords

Navigation