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The Impact of Confusion on Syntax Errors in Simple Sequence Flow Models in BPMN

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Advanced Information Systems Engineering Workshops (CAiSE 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 349))

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Abstract

With the growing investments in getting to know and controlling their business processes, organizations produce many business process models. These models have become crucial instruments in the process lifecycle and therefore it is important that they are correct and clear representations of reality. They should contain as few errors and confusions as possible. Because we assume a causal relation between confusion and errors, we investigated it empirically. For our observation group, the data shows a correlation and temporal ordering between both. More in detail, avoiding implicit and redundant events and gateways is related with making less errors.

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Notes

  1. 1.

    For details, see the 2015 experiment at https://www.janclaes.info/experiments.

  2. 2.

    Statistically significant result.

  3. 3.

    Results are not statistically significant.

References

  1. Moreno-Montes De Oca, I., Snoeck, M., Reijers, H.A., et al.: A systematic literature review of studies on business process modeling quality. Inf. Softw. Technol. 58, 187–205 (2015)

    Article  Google Scholar 

  2. Aguilar-Savén, R.S.: Business process modelling: review and framework. Int. J. Prod. Econ. 90, 129–149 (2004)

    Article  Google Scholar 

  3. Recker, J.: Opportunities and constraints: the current struggle with BPMN. Bus. Process Manag. J. 16, 181–201 (2010)

    Article  Google Scholar 

  4. Grosskopf, A., Edelman, J., Weske, M.: Tangible business process modeling – methodology and experiment design. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009. LNBIP, vol. 43, pp. 489–500. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12186-9_46

    Chapter  Google Scholar 

  5. Hassan, N., Recker, J., Bernhard, E.: A study of the use of business process modelling at Suncorp, Brisbane, Australia (2011)

    Google Scholar 

  6. Gruhn, V., Laue, R.: What business process modelers can learn from programmers. Sci. Comput. Program. 65, 4–13 (2007)

    Article  MathSciNet  Google Scholar 

  7. Mendling, J., Verbeek, H.M.W., Van Dongen, B.F., et al.: Detection and prediction of errors in EPCs of the SAP reference model. Data Knowl. Eng. 64, 312–329 (2008)

    Article  Google Scholar 

  8. Claes, J., Vanderfeesten, I., Gailly, F., et al.: The structured process modeling method (SPMM) - what is the best way for me to construct a process model? Decis. Support Syst. 100, 57–76 (2017)

    Article  Google Scholar 

  9. zur Muehlen, M., Recker, J.: How much language is enough? theoretical and practical use of the business process modeling notation. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 465–479. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69534-9_35

    Chapter  Google Scholar 

  10. De Bock, J., Claes, J.: The origin and evolution of syntax errors in simple sequence flow models in BPMN. In: Matulevičius, R., Dijkman, R. (eds.) CAiSE 2018. LNBIP, vol. 316, pp. 155–166. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92898-2_13

    Chapter  Google Scholar 

  11. Figl, K.: Comprehension of procedural visual business process models - a literature review. Bus. Inf. Syst. Eng. 59, 41–71 (2017)

    Article  Google Scholar 

  12. De Meyer, P., Claes, J.: An overview of process model quality literature - The Comprehensive Process Model Quality Framework (2018)

    Google Scholar 

  13. Becker, J., Rosemann, M., von Uthmann, C.: Guidelines of business process modeling. In: van der Aalst, W., Desel, J., Oberweis, A. (eds.) Business Process Management. LNCS, vol. 1806, pp. 30–49. Springer, Heidelberg (2000). https://doi.org/10.1007/3-540-45594-9_3

    Chapter  Google Scholar 

  14. Mendling, J., Reijers, H.A., Van der Aalst, W.M.P.: Seven process modeling guidelines (7PMG). Inf. Softw. Technol. 52, 127–136 (2010)

    Article  Google Scholar 

  15. Mendling, J., Sánchez-González, L., García, F., et al.: Thresholds for error probability measures of business process models. J. Syst. Softw. 85, 1188–1197 (2012)

    Article  Google Scholar 

  16. Sánchez-González, L., García, F., Ruiz, F., et al.: Quality indicators for business process models from a gateway complexity perspective. Inf. Softw. Technol. 54, 1159–1174 (2012)

    Article  Google Scholar 

  17. La Rosa, M., Ter Hofstede, A.H.M., Wohed, P., et al.: Managing process model complexity via concrete syntax modifications. IEEE Trans. Ind. Informatics. 7, 255–265 (2011)

    Article  Google Scholar 

  18. La Rosa, M., Wohed, P., Mendling, J., et al.: Managing process model complexity via abstract syntax modifications. IEEE Trans. Ind. Informatics. 7, 614–629 (2011)

    Article  Google Scholar 

  19. Bolle, J., Claes, J.: Investigating the trade-off between the effectiveness and efficiency of process modeling. In: Daniel, F., Sheng, Quan Z., Motahari, H. (eds.) BPM 2018. LNBIP, vol. 342, pp. 121–132. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-11641-5_10

    Chapter  Google Scholar 

  20. Chen, C.: Top 10 unsolved information visualization problems. IEEE Comput. Graph. Appl. 25, 12–16 (2005)

    Article  Google Scholar 

  21. Nelson, H.J., Poels, G., Genero, M., et al.: A conceptual modeling quality framework. Softw. Qual. J. 20, 201–228 (2012)

    Article  Google Scholar 

  22. Rockwell, S., Bajaj, A.: COGEVAL: applying cognitive theories to evaluate conceptual models. Adv. Top. Database Res. 4, 255–282 (2005)

    Article  Google Scholar 

  23. Rogers, Y., Scaife, M.: How can interactive multimedia facilitate learning? In: Lee, J. (ed.) 1st International Workshop on Intelligence and Multimodality in Multimedia Interfaces. Research and Applications, pp. 1–25. AAAI (1998)

    Google Scholar 

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Claes, J., Vandecaveye, G. (2019). The Impact of Confusion on Syntax Errors in Simple Sequence Flow Models in BPMN. In: Proper, H., Stirna, J. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2019. Lecture Notes in Business Information Processing, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-030-20948-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-20948-3_1

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