Skip to main content

Measuring the Understandability of Business Process Models - Are We Asking the Right Questions?

  • Conference paper
Business Process Management Workshops (BPM 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 66))

Included in the following conference series:

Abstract

In this paper, we show how experiments on the understandability of business process models can depend on the exact wording used in the experiments’ questionnaires. For this purpose, we partially replicated a published experiment. We asked a group of students a number of questions on relations between tasks in a business process model. Alternatively, we used a set of modified questions which were aimed to ask for exactly the same relations. The result was that there was a significant difference in the number of correct answers between the two systems to construct a question. We argue that a non-negligible part of the wrong answers given in the experiment did not result from problems to understand the model, but rather from problems to understand the question. It follows that it is dangerous to draw conclusions from such an experiment until enough effort has been taken to select appropriate questions.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lindland, O.I., Sindre, G., Sølvberg, A.: Understanding quality in conceptual modeling. IEEE Softw. 11, 42–49 (1994)

    Article  Google Scholar 

  2. Becker, J., Rosemann, M., Uthmann, C.v.: Guidelines of business process modeling. In: Business Process Management, Models, Techniques, and Empirical Studies, pp. 30–49. Springer, London (2000)

    Chapter  Google Scholar 

  3. Rittgen, P.: Quality and perceived usefulness of process models. In: SAC 2010: Proceedings of the 2010 ACM Symposium on Applied Computing, pp. 65–72. ACM, New York (2010)

    Google Scholar 

  4. Schuman, H., Presser, S.: Questions and Answers in Attitude Surveys. Academic Press, San Diego (1981)

    Google Scholar 

  5. Carmines, E., Zeller, R.: Reliability and Validity Assessment. Sage Univ. papers, Thousand Oaks (1979)

    Book  Google Scholar 

  6. Cardoso, J.: Process control-flow complexity metric: An empirical validation. In: IEEE International Conference on Services Computing, pp. 167–173 (2006)

    Google Scholar 

  7. Holschke, O., Rake, J., Levina, O.: Granularity as a cognitive factor in the effectiveness of business process model reuse. In: Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds.) BPM 2009. LNCS, vol. 5701, pp. 245–260. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  8. Aguilar, E.R., Sanchez, L., Carballeira, F.G., Ruiz, F., Piattini, M., Caivano, D., Visaggio, G.: Prediction models for BPMN usability and maintainability. In: 2009 IEEE Conference on Commerce and Enterprise Computing, pp. 383–390 (2009)

    Google Scholar 

  9. Sarshar, K., Loos, P.: Comparing the control-flow of EPC and petri net from the end-user perspective. In: van der Aalst, W.M.P., Benatallah, B., Casati, F., Curbera, F. (eds.) BPM 2005. LNCS, vol. 3649, pp. 434–439. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  10. Canfora, G., García, F., Piattini, M., Ruiz, F., Visaggio, C.A.: A family of experiments to validate metrics for software process models. J. Syst. Softw. 77, 113–129 (2005)

    Article  Google Scholar 

  11. Lara Proano, M.D.: Visual layout for drawing understandable process models. Master’s thesis, Technische Universiteit Eindhoven (2008)

    Google Scholar 

  12. Reijers, H., Mendling, J.: Modularity in process models: Review and effects. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 20–35. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  13. Mendling, J., Reijers, H.A., Cardoso, J.: What makes process models understandable? In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 48–63. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  14. Recker, J., Dreiling, A.: Does it matter which process modelling language we teach or use? In: 18th Australasian Conference on Information Systems (2007)

    Google Scholar 

  15. Mendling, J., Strembeck, M.: Influence factors of understanding business process models. In: 11th International Conference, Business Information Systems, BIS 2008, Innsbruck, Austria, pp. 142–153. Springer, Heidelberg (2008)

    Google Scholar 

  16. Vanderfeesten, I.T.P., Reijers, H.A., Mendling, J., van der Aalst, W.M.P., Cardoso, J.: On a quest for good process models: The cross-connectivity metric. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 480–494. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  17. Mayer, R.: Models for understanding. Rev. of Educational Research 59, 43 (1989)

    Article  Google Scholar 

  18. Melcher, J., Seese, D.: Process measurement: Insights from software measurement on measuring process complexity, quality and performance. Technical report, Universität Karlsruhe, TH (2008)

    Google Scholar 

  19. Melcher, J., Seese, D.: Towards validating prediction systems for process understandability: Measuring process understandability. In: 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, pp. 564–571. IEEE Computer Society, Los Alamitos (2008)

    Google Scholar 

  20. Melcher, J., Mendling, J., Reijers, H.A., Seese, D.: On measuring the understandability of process models. In: Revised Papers of the BPM 2009 International Workshops. LNBIP, vol. 43, pp. 465–476. Springer, Ulm (2010)

    Google Scholar 

  21. Dwyer, M.B., Avrunin, G.S., Corbett, J.C.: Patterns in property specifications for finite-state verification. In: Proc. of the 21st International Conference on Software Engineering, pp. 411–420. IEEE Computer Society Press, Los Alamitos (1999)

    Google Scholar 

  22. Sudman, S., Bradburn, N.M.: Asking Questions: A Practical Guide to Questionnaire Design. Jossey-Bass, San Francisco (1982)

    Google Scholar 

  23. Converse, J.M., Presser, S.: Survey Questions: Handcrafting the Standardized Questionnaire. Sage Publications, Thousand Oaks (1986)

    Book  Google Scholar 

  24. Aranda, J., Ernst, N., Horkoff, J., Easterbrook, S.M.: A framework for empirical evaluation of model comprehensibility. In: International Workshop on Modeling in Software Engineering, MiSE 2007 (2007)

    Google Scholar 

  25. Patig, S.: A practical guide to testing the understandability of notations. In: Fifth Asia-Pacific Conference on Conceptual Modelling (APCCM 2008). CRPIT, vol. 79, pp. 49–58. Australian Computer Society (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Laue, R., Gadatsch, A. (2011). Measuring the Understandability of Business Process Models - Are We Asking the Right Questions?. In: zur Muehlen, M., Su, J. (eds) Business Process Management Workshops. BPM 2010. Lecture Notes in Business Information Processing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20511-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20511-8_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20510-1

  • Online ISBN: 978-3-642-20511-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics