Tying process model quality to the modeling process: the impact of structuring, movement, and speed
- Author
- Jan Claes (UGent) , Irene Vanderfeesten, Hajo A Reijers, Jakob Pinggera, Matthias Weidlich, Stefan Zugal, Dirk Fahland, Barbara Weber, Jan Mendling and Geert Poels (UGent)
- Organization
- Abstract
- In an investigation into the process of process modeling, we examined how modeling behavior relates to the quality of the process model that emerges from that. Specifically, we considered whether (i) a modeler’s structured modeling style, (ii) the frequency of moving existing objects over the modeling canvas, and (iii) the overall modeling speed is in any way connected to the ease with which the resulting process model can be understood. In this paper, we describe the exploratory study to build these three conjectures, clarify the experimental set-up and infrastructure that was used to collect data, and explain the used metrics for the various concepts to test the conjectures empirically. We discuss various implications for research and practice from the conjectures, all of which were confirmed by the experiment.
- Keywords
- MANAGEMENT, ERROR-PROBABILITY, BUSINESS PROCESS MODELS, NETS, business process modeling, KNOWLEDGE, process model quality, empirical research, modeling process
Downloads
-
Tying Process Model Quality to the Modeling Process- The Impact of Structuring Movement and Speed.pdf
- full text
- |
- open access
- |
- |
- 588.89 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-2953400
- MLA
- Claes, Jan, et al. “Tying Process Model Quality to the Modeling Process: The Impact of Structuring, Movement, and Speed.” LECTURE NOTES IN COMPUTER SCIENCE, edited by A Barros et al., vol. 7481, Springer, 2012, pp. 33–48, doi:10.1007/978-3-642-32885-5_3.
- APA
- Claes, J., Vanderfeesten, I., Reijers, H. A., Pinggera, J., Weidlich, M., Zugal, S., … Poels, G. (2012). Tying process model quality to the modeling process: the impact of structuring, movement, and speed. In A. Barros, A. Gal, & E. Kindler (Eds.), LECTURE NOTES IN COMPUTER SCIENCE (Vol. 7481, pp. 33–48). https://doi.org/10.1007/978-3-642-32885-5_3
- Chicago author-date
- Claes, Jan, Irene Vanderfeesten, Hajo A Reijers, Jakob Pinggera, Matthias Weidlich, Stefan Zugal, Dirk Fahland, Barbara Weber, Jan Mendling, and Geert Poels. 2012. “Tying Process Model Quality to the Modeling Process: The Impact of Structuring, Movement, and Speed.” In LECTURE NOTES IN COMPUTER SCIENCE, edited by A Barros, A Gal, and E Kindler, 7481:33–48. Berlin, Germany: Springer. https://doi.org/10.1007/978-3-642-32885-5_3.
- Chicago author-date (all authors)
- Claes, Jan, Irene Vanderfeesten, Hajo A Reijers, Jakob Pinggera, Matthias Weidlich, Stefan Zugal, Dirk Fahland, Barbara Weber, Jan Mendling, and Geert Poels. 2012. “Tying Process Model Quality to the Modeling Process: The Impact of Structuring, Movement, and Speed.” In LECTURE NOTES IN COMPUTER SCIENCE, ed by. A Barros, A Gal, and E Kindler, 7481:33–48. Berlin, Germany: Springer. doi:10.1007/978-3-642-32885-5_3.
- Vancouver
- 1.Claes J, Vanderfeesten I, Reijers HA, Pinggera J, Weidlich M, Zugal S, et al. Tying process model quality to the modeling process: the impact of structuring, movement, and speed. In: Barros A, Gal A, Kindler E, editors. LECTURE NOTES IN COMPUTER SCIENCE. Berlin, Germany: Springer; 2012. p. 33–48.
- IEEE
- [1]J. Claes et al., “Tying process model quality to the modeling process: the impact of structuring, movement, and speed,” in LECTURE NOTES IN COMPUTER SCIENCE, Tallinn, Estonia, 2012, vol. 7481, pp. 33–48.
@inproceedings{2953400,
abstract = {{In an investigation into the process of process modeling, we examined how modeling behavior relates to the quality of the process model that emerges from that. Specifically, we considered whether (i) a modeler’s structured modeling style, (ii) the frequency of moving existing objects over the modeling canvas, and (iii) the overall modeling speed is in any way connected to the ease with which the resulting process model can be understood. In this paper, we describe the exploratory study to build these three conjectures, clarify the experimental set-up and infrastructure that was used to collect data, and explain the used metrics for the various concepts to test the conjectures empirically. We discuss various implications for research and practice from the conjectures, all of which were confirmed by the experiment.}},
author = {{Claes, Jan and Vanderfeesten, Irene and Reijers, Hajo A and Pinggera, Jakob and Weidlich, Matthias and Zugal, Stefan and Fahland, Dirk and Weber, Barbara and Mendling, Jan and Poels, Geert}},
booktitle = {{LECTURE NOTES IN COMPUTER SCIENCE}},
editor = {{Barros, A and Gal, A and Kindler, E}},
isbn = {{9783642328848}},
issn = {{0302-9743}},
keywords = {{MANAGEMENT,ERROR-PROBABILITY,BUSINESS PROCESS MODELS,NETS,business process modeling,KNOWLEDGE,process model quality,empirical research,modeling process}},
language = {{eng}},
location = {{Tallinn, Estonia}},
pages = {{33--48}},
publisher = {{Springer}},
title = {{Tying process model quality to the modeling process: the impact of structuring, movement, and speed}},
url = {{http://doi.org/10.1007/978-3-642-32885-5_3}},
volume = {{7481}},
year = {{2012}},
}
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: