Seven process modeling guidelines (7PMG)

Wand, 2002, Research commentary: information systems and conceptual modeling – a research agenda, Information Systems Research, 13, 363, 10.1287/isre.13.4.363.69

Davies, 2006, How do practitioners use conceptual modeling in practice?, Data and Knowledge Engineering, 58, 358, 10.1016/j.datak.2005.07.007

Hung, 2006, Business process management as competitive advantage: a review and empirical study, Total Quality Management and Business Excellence, 17, 21, 10.1080/14783360500249836

Russo, 1997, 12 Rules to make your ISO 9000 documentation simple and easy to use, Quality Progress, 30, 51

Dandekar, 1997, Studies in process simplification, Software Process: Improvement and Practice, 3, 87, 10.1002/(SICI)1099-1670(199706)3:2<87::AID-SPIP69>3.0.CO;2-J

Rosemann, 2006, Potential pitfalls of process modeling: part a, Business Process Management Journal, 12, 249, 10.1108/14637150610657567

Gulla, 2000, On the challenges of business modeling in large-scale reengineering projects, 17

Reijers, 2009, Improved model management with aggregated business process models, Data and Knowledge Engineering, 68, 221, 10.1016/j.datak.2008.09.004

Krogstie, 2006, Process models representing knowledge for action: a revised quality framework, European Journal of Information Systems, 15, 91, 10.1057/palgrave.ejis.3000598

Becker, 2000, Guidelines of business process modeling, 30

B. Silver, Ten tips for effective process modeling, Bpms watch, BPMInstitute.org, <http://www.bpminstitute.org/articles/article/article/bpms-watch-ten-tips-for-effective-process-modeling.html>, Wednesday January 30, 2008.

Koubarakis, 2002, A formal framework for business process modelling and design, Information Systems, 27, 299, 10.1016/S0306-4379(01)00055-2

Sadiq, 2005, Specification and validation of process constraints for flexible workflows, Information Systems, 30, 349, 10.1016/j.is.2004.05.002

Moody, 2005, Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions, Data and Knowledge Engineering, 55, 243, 10.1016/j.datak.2004.12.005

Mendling, 2008, Metrics for process models: empirical foundations of verification, error prediction, and guidelines for correctness, vol. 6

Zisman, 1978, Use of production systems for modeling asynchronous concurrent processes, Pattern-directed Inference Systems, 53, 10.1016/B978-0-12-737550-2.50008-7

Ellis, 1980, Office information systems and computer science, ACM Computing Surveys, 12, 27, 10.1145/356802.356805

G. Keller, M. Nüttgens, A.-W. Scheer, Semantische Prozessmodellierung auf der Grundlage “Ereignisgesteuerter Prozessketten (EPK)”, Heft 89, Institut für Wirtschaftsinformatik, Saarbrücken, Germany, 1992.

Curtis, 1992, Process modeling, Communications of the ACM, 35, 75, 10.1145/130994.130998

Georgakopoulos, 1995, An overview of workflow management: from process modeling to workflow automation infrastructure, Distributed and Parallel Databases, 3, 119, 10.1007/BF01277643

Jablonski, 1996

Scheer, 2000

Lindland, 1994, Understanding quality in conceptual modeling, IEEE Software, 11, 42, 10.1109/52.268955

Moody, 2002, Evaluating the quality of process models: empirical testing of a quality framework, vol. 2503, 380

I. ISO, Information technology – software product evaluation – quality characteristics and guide lines for their use, Iso/iec is 9126, 1991.

Güceglioglu, 2005, Using software quality characteristics to measure business process quality, vol. 3649, 374

Canfora, 2005, A family of experiments to validate metrics for software process models, Journal of Systems and Software, 77, 113, 10.1016/j.jss.2004.11.007

Cardoso, 2006, Process control-flow complexity metric: an empirical validation, 167

J. Mendling, M. Moser, G. Neumann, H. Verbeek, B. Dongen, W. van der Aalst, A Quantitative Analysis of Faulty EPCs in the SAP Reference Model, BPM Center Report BPM-06-08, BPMCenter.org, 2006.

J. Mendling, Detection and prediction of errors in epc business process models, Ph.D. thesis, Vienna University of Economics and Business Administration, http://wi.wu-wien.ac.at/home/mendling/publications/Mendling%20Doctoral%20thesis.pdf, 2007.

Mendling, 2007, What makes process models understandable?, vol. 4714, 48

Mendling, 2008, Influence factors of understanding business process models, vol. 7, 142153

Rosemann, 2006, A study of the evolution of the representational capabilities of process modeling grammars, vol. 4001, 447

Agarwal, 2003, Object-oriented modeling with UML: a study of developers’ perceptions, Communications of the ACM, 46, 248, 10.1145/903893.903944

K. Sarshar, P. Loos, Comparing the control-flow of epc and petri net from the end-user perspective, in: W. van der Aalst, B. Benatallah, F. Casati, F. Curbera (Eds.), Business Process Management, Third International Conference, BPM 2005, Nancy, France, September 5–8, 2005, Proceedings, LNCS, vol. 3649, 2005, pp. 434–439.

Recker, 2007, Does it matter which process modelling language we teach or use? An experimental study on understanding process modelling languages without formal education, 356

Bandara, 2005, Factors and measures of business process modelling: model building through a multiple case study, European Journal of Information Systems, 14, 347, 10.1057/palgrave.ejis.3000546

Sharp, 2001

2003

J. Mendling, H.A. Reijers, J. Recker, Activity Labeling in Process Modeling: Empirical Insights and Recommendations, Information Systems. URL: <http://eprints.qut.edu.au/19625/>.

Mendling, 2008, Detection and prediction of errors in EPCs of the SAP reference model, Data and Knowledge Engineering, 64, 312, 10.1016/j.datak.2007.06.019

Vanhatalo, 2007, Faster and more focused control-flow analysis for business process models through sese decomposition, vol. 4749, 43

Gruhn, 2007, What business process modelers can learn from programmers, Science of Computer Programming, 65, 4, 10.1016/j.scico.2006.08.003

Mendling, 2007, Understanding the occurrence of errors in process models based on metrics, vol. 4803, 113

Glabbeek, 1996, Branching time and abstraction in bisimulation semantics, Journal of the ACM, 43, 555, 10.1145/233551.233556

van der Aalst, 2003, Workflow patterns, Distributed and Parallel Databases, 14, 5, 10.1023/A:1022883727209

Kindler, 2006, On the semantics of EPCs: resolving the vicious circle, Data and Knowledge Engineering, 56, 23, 10.1016/j.datak.2005.02.005

J. Recker, J. Mendling, On the translation between BPMN and BPEL: conceptual mismatch between process modeling languages, in: T. Latour, M. Petit (Eds.), Proceedings of the CAiSE Workshops at the 18th Conference on Advanced Information Systems Engineering (CAiSE 2006), Luxembourg, 2006, pp. 521–532.

Vanhatalo, 2009, The refined process structure tree, Data and Knowledge Engineering, 68, 793, 10.1016/j.datak.2009.02.015

Weber, 2008, Change patterns and change support features – enhancing flexibility in process-aware information systems, Data and Knowledge Engineering, 66, 438, 10.1016/j.datak.2008.05.001

Whitley, 1997, Visual programming languages and the empirical evidence for and against, Journal of Visual Languages and Computing, 8, 109, 10.1006/jvlc.1996.0030

Green, 1996, Usability analysis of visual programming environments: a ’cognitive dimensions’ framework, Journal of Visual Languages and Computing, 7, 131, 10.1006/jvlc.1996.0009

Vanderfeesten, 2008, Evaluating workflow process designs using cohesion and coupling metrics, Computers in Industry, 59, 420, 10.1016/j.compind.2007.12.007