This page provides supplementary materials for our article entitled


This work has been published in International Journal on Software and Systems Modeling (SoSyM). The published paper can be found at https://doi.org/10.1007/s10270-019-00761-w. This work extends the previous work that has been published in https://doi.org/10.1007/978-3-319-91704-7_7.
Our approach is illustrated as follows:


Below are some screenshots of our ProM plug-in (click the picture to see more details):


If you use our work (e.g., our software) please cite this work. You may use the following bibtex entries in order to cite this work:
@Article{SF-SOSYM-19,
          author="Ario Santoso and Michael Felderer",
          title="Specification-driven predictive business process monitoring",
          journal="International Journal on Software and Systems Modeling (SoSym)",
          year="2019",
          doi="https://doi.org/10.1007/s10270-019-00761-w"
}
@incollection{AS-BPMDS-18,
 author = “Ario Santoso”,
 title = "Specification-Driven Multi-Perspective Predictive Business Process Monitoring",
 booktitle = "Enterprise, Business-Process and Information Systems Modeling, BPMDS 2018, EMMSAD 2018",
 series = "Lecture Notes in Business Information Processing",
 volume="318",
 pages="97-113",
 publisher = "Springer",
 year = "2018”,
 doi="https://doi.org/10.1007/978-3-319-91704-7_7"
}




Acknowledgement: 
This research has been supported by the Euregio Interregional Project Network IPN12 “Knowledge-Aware Operational Support” (KAOS), which is funded by the “European Region Tyrol-South Tyrol-Trentino” (EGTC) under the first call for basic research projects. We thank Tri Kurniawan Wijaya for various suggestions on this work, and Yasmin Khairina for the implementation of some prototype components.