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How to cite

To cite ProcessM software, use the following citation:

Tomasz P. Pawlak, Jędrzej Potoniec, ProcessM: Intelligent Process Mining software, SoftwareX, Volume 30, 102079, Elsevier, 2025, doi:10.1016/j.softx.2025.102079.
BibTeX:

@article{ProcessM2025,
   author = {Tomasz P. Pawlak and Jędrzej Potoniec},
   title = {ProcessM: Intelligent Process Mining software},
   journal = {SoftwareX},
   volume = {30},
   pages = {102079},
   year = {2025},
   issn = {2352-7110},
   doi = {10.1016/j.softx.2025.102079},
   url = {https://www.sciencedirect.com/science/article/pii/S2352711025000469},
   keywords = {Petri net, Key performance indicator, Conformance checking, Event log},
}

To cite specific algorithms and solutions contained in ProcessM, cite these papers accordingly:

Tomasz P. Pawlak, Bartosz Górka, Continuous update of business process trees using Continuous Inductive Miner, Bulletin of the Polish Academy of Sciences Technical Sciences, Volume 71, Number 1, e143551, Polish Academy of Sciences 2023, doi:10.24425/bpasts.2022.143551.
BibTeX:

@article{PawlakCIM2023,
    author={Pawlak, Tomasz P. and Górka, Bartosz},
    title={Continuous update of business process trees using Continuous Inductive Miner},
    journal={Bulletin of the Polish Academy of Sciences Technical Sciences},
    volume={71},
    number={1},
    pages={e143551},
    howpublished={online},
    year={2023},
    type={Article},
    url={http://journals.pan.pl/Content/124925/PDF/BPASTS_2023_71_1_3017.pdf},
    doi={10.24425/bpasts.2022.143551},
    keywords={business process, process mining, business intelligence, event log, concept drift},
}

Jędrzej Potoniec, Daniel Sroka, Tomasz P. Pawlak, Continuous discovery of Causal nets for non-stationary business processes using the Online Miner, European Journal of Operational Research, Volume 303, Number 3, 1304-1320, Elsevier, 2022, doi:10.1016/j.ejor.2022.03.046.
BibTeX:

@article{PotoniecOM2022,
    author = {J\k edrzej Potoniec and Daniel Sroka and Tomasz P. Pawlak},
    title = {Continuous discovery of Causal nets for non-stationary business processes using the Online Miner},
    journal = {European Journal of Operational Research},
    volume = {303},
    number = {3},
    pages = {1304-1320},
    year = {2022},
    issn = {0377-2217},
    doi = {10.1016/j.ejor.2022.03.046},
    url = {https://www.sciencedirect.com/science/article/pii/S0377221722002685},
    keywords = {Analytics, Event log, Online learning, Business intelligence},
}