This page provides supplementary materials for our article entitled
Specification-Driven Predictive Business Process Monitoring
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.
The full journal paper of this work can be found in:
The screencast of our tool (ProM plug-in) can be found below:
The supplementary material of our work can be found below:
The source codes of our tools can be found in
The user manual of our tools (including the instructions to reproduce our experiments) can be found below:
The distribution (e.g., .jar) of our tool can be found below:
The datasets that we used are publicly available in the following links:
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:
Citing our journal paper (https://doi.org/10.1007/s10270-019-00761-w)
@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"
}
Citing our conference paper (https://doi.org/10.1007/978-3-319-91704-7_7)
@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"
}
Specification-Driven Multi-Perspective Predictive Business Process Monitoring (Technical Report)
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.
Specification-Driven Multi-Perspective Predictive Business Process Monitoring (Technical Report)