Banner Publications 

Journal Papers

Reijers, H. A., Vanderfeesten, I., & van der Aalst, W. M. P. (2016). The effectiveness of workflow management systems: A longitudinal study. International Journal of Information Management, 36(1), 126-141.

Leopold, H., Pittke, F., & Mendling, J. (2015). Automatic service derivation from business process model repositories via semantic technology. Journal of Systems and Software, 108, 134-147.

 Vanwersch, R. J., Vanderfeesten, I., Rietzschel, E., & Reijers, H. A. (2015). Improving Business Processes: Does Anybody have an Idea?. In Business Process Management (pp. 3-18). Springer International Publishing.

van der Aa, H., Leopold, H., & Reijers, H. A. (2015). Detecting Inconsistencies Between Process Models and Textual DescriptionsIn Business Process Management (pp. 90-105). Springer International Publishing.

Leopold, H., Mendling, J., & Polyvyanyy, A. (2014). Supporting process model validation through natural language generation. IEEE Transactions on Software Engineering, 40(8), 818-840.

van Genuchten, M., Mans, R., Reijers, H., & Wismeijer, D. (2014). Is your upgrade worth it? Process mining can tell. Software, IEEE, 31(5), 94-100.

Iren, D., Bilgen. S.; (2014) Cost of Quality in CrowdsourcingHuman Computation 1:2:283-314 ISSN: 2330-8001, DOI: 10.15346/hc.v1i2.14

Leopold, H., Smirnov, S., & Mendling, J. (2012). On the refactoring of activity labels in business process models. Information Systems, 37(5), 443-459.

Leopold, H., Niepert, M., Weidlich, M., Mendling, J., Dijkman, R., & Stuckenschmidt, H. (2012). Probabilistic optimization of semantic process model matching. In Business Process Management (pp. 319-334). Springer Berlin Heidelberg.

Schunselaar, D. M., Verbeek, E., van der Aalst, W. M., & Reijers, H. A. (2012, May). Creating sound and reversible configurable process models using CoSeNets. In Business Information Systems (pp. 24-35). Springer Berlin Heidelberg.

Schunselaar, D. M., Maggi, F. M., Sidorova, N., & van der Aalst, W. M. (2012). Configurable Declare: Designing Customisable Flexible Models. In 20th Int. Conf. on Cooperative Information Systems (CoopIS 2012).

Schunselaar, D. M., Maggi, F. M., & Sidorova, N. (2012, June). Patterns for a log-based strengthening of declarative compliance models. In Integrated Formal Methods (pp. 327-342). Springer Berlin Heidelberg.

Reijers, H. A., Freytag, T., Mendling, J., & Eckleder, A. (2011). Syntax highlighting in business process models. Decision Support Systems, 51(3), 339-349.

Weber, B., Reichert, M., Mendling, J., & Reijers, H. A. (2011). Refactoring large process model repositories. Computers in Industry, 62(5), 467-486.


Conference Proceedings & Workshops

Gulden J., van der Linden D., Aysolmaz, B. (2016). A Research Agenda on Visualizations in Information Systems Engineering. Proc. of the 11th Int. Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), Rome, Italy.

Aysolmaz, B., Yildiz, A., Reijers, H. (2016). A Process Variant Modeling Method Comparison: Experience Report. To appear in: Proc. of the 17th BPMDS Working Conference in conjunction with CAiSE'16, Ljuljana, Slovenia.

van der Aa, H., del-Rio-Ortega, A., Resinas, M., Leopold, H., Ruiz-Cortés, A., Mendling, J., & Reijers, H. A. (2016). Narrowing the Business-IT Gap in Process Performance Measurement. In Advanced Information Systems Engineering CAiSE.

Aysolmaz, B., Demirors O. (2015). Unified Process Modeling with UPROM Tool. Lecture Notes in Business Information Processing, Editors: van der Aalst, W., Mylopoulos, J., Rosemann, M., Shaw, M.J., Szyperski, C., Springer.

B. Aysolmaz and O. Demirors, Automated Functional Size Estimation using Business Process Models with UPROM Method. in Software Process and Product Measurement, 2014.

Iren, D., & Bilgen, S. (2014, July). Cost models of Quality assurance in crowdsourcingIn Communications and Electronics (ICCE), 2014 IEEE Fifth International Conference on Communications and Electronics (pp. 504-509). IEEE.

Iren, D., Kul, G., & Bilgen, S. (2014, June). Utilization of synergetic human-machine clouds: a big data cleaning case. In Proceedings of the 1st International Workshop on CrowdSourcing in Software Engineering (pp. 15-18). ACM.

Schunselaar, D. M., Verbeek, E., van der Aalst, W. M., & Reijers, H. A. (2014). Petra: A Tool for Analysing a Process Family. In PNSE@ Petri Nets (pp. 269-288).