On measuring the understandability of process models

Lecture Notes in Business Information Processing

Volumn 43 LNBIP, Issue , 2010, Pages 465-474

  Melcher, Joachim ^a   Mendling, Jan ^b   Reijers, Hajo A ^c   Seese, Detlef ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b HUMBOLDT UNIVERSITY   (Germany)

^c EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

experiment; process metric; Process understandability

Indexed keywords

ENTERPRISE RESOURCE MANAGEMENT; MODEL STRUCTURES;

BUSINESS PROCESS MODEL; MEASUREMENT INSTRUMENTS; PROCESS METRIC; PROCESS MODEL; RELIABILITY AND VALIDITY; STRUCTURAL MODELS; UNDERSTANDABILITY;

EXPERIMENTS;

EID: 77954009872     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-12186-9_44     Document Type: Conference Paper

References (16)

1. Recker, J., Dreiling, A.: Does it matter which process modelling language we teach or use? An experimental study on understanding process modelling languages without formal education. In: Proceedings of the 18th Australasian Conference on Information Systems (ACIS 2007), pp. 356-366 (2007)
2. 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)
3. Moher, T.G., Mak, D.C., Blumenthal, B., Leventhal, L.M.: Comparing the comprehensibility of textual and graphical programs: The case of petri nets. In: Cook, C.R., Scholtz, J.C., Spohrer, J.C. (eds.) Empirical Studies of Programmers: Fifth Workshop: Papers Presented at the Fifth Workshop on Empirical Studies of Programmers, pp. 137-161 (1993)
4. Reijers, H.A., 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)
5. Mendling, J.: Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness. LNBIP, vol. 6. Springer, Heidelberg (2008)
6. Vanderfeesten, I., 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)
7. Green, T.R.G., Petre, M.: Usability analysis of visual programming environments: A 'cognitive dimensions' framework. Journal of Visual Languages and Computing 7(2), 131-174 (1996)
8. 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)
9. Mendling, J., Strembeck, M.: Influence factors of understanding business process models. In: Abramowicz, W., Fensel, D. (eds.) BIS 2008. LNBIP, vol. 7, pp. 142-153. Springer, Heidelberg (2008)
10. Melcher, J., Seese, D.: Towards validating prediction systems for process understandability: Measuring process understandability. In: Negru, V., Jebelean, T., Petcu, D., Zaharie, D. (eds.) Proceedings of the 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2008), pp. 564-571 (2008)
11. Melcher, J., Seese, D.: Towards validating prediction systems for process understandability: Measuring process understandability (experimental results). Research report, Universität Karlsruhe (TH), Institut AIFB (2008), http://digbib.ubka.uni-karlsruhe.de/volltexte/1000009260
12. Melcher, J., Mendling, J., Reijers, H.A., Seese, D.: On measuring the understandability of process models (experimental results). Research report, Universität Karlsruhe (TH), Institut AIFB, Humboldt-Universität, Berlin, Eindhoven University of Technology (2009), http://digbib.ubka.uni- karlsruhe.de/volltexte/1000011993
13. Kan, S.H.: Metrics and Models in Software Quality Engineering, 2nd edn. Addison-Wesley, Reading (2002)
14. Panik, M.J.: Advanced Statistics from an Elementary Point of View. Elsevier Academic Press, Amsterdam (2005)
15. Shapiro, S.S., Wilk, M.B.: An analysis of variance test for normality (complete samples). Biometrika 52(3-4), 591-611 (1965)
16. Efron, B., Tibshirani, R.J.: An Introduction to the Bootstrap. Chapman & Hall, Boca Raton (1993)