Business Process Management Research Cluster

Business Process Management Research Cluster Part of Quality Engineering at the University of Innsbruck, focusing on empirical methods to understand how to support business processes.

Visit http://bpm.q-e.at Our team is conducting empirical investigations to obtain in-depth understanding of how business processes can be effectively supported. Building upon these findings we are working on innovative methods and tools for supporting business processes throughout the whole lifecycle. Moreover, we are continuously trying to develop novel methods and tools for advancing the way how research on business processes can be conducted.

Recently, we started developing CEP-Web, a tool for using   data for   analysis. A fist TR focusing on cleaning pupillar...
31/03/2017

Recently, we started developing CEP-Web, a tool for using data for analysis. A fist TR focusing on cleaning pupillary data is now online: https://arxiv.org/abs/1703.09468

23/03/2017

Von der Piste in den Hörsaal... 🎿📚

Andrea's new paper on   detection in   is finally published in Software & Systems Modeling  https://t.co/EzRqbJGLhp
18/01/2017

Andrea's new paper on detection in is finally published in Software & Systems Modeling
https://t.co/EzRqbJGLhp

11/01/2017

All good things (must) come to an end…

The New Year has brought many changes to the BPM Research Cluster. Cornelia and Stefan, who have been working for us for so many years, have decided to leave the academic world for good and pursue new career goals. Even though we will miss them dearly, we wish them all the best for their future endeavors!

The Business Process Management Research Cluster wishes all students, employees and partners pleasant and relaxing Chris...
23/12/2016

The Business Process Management Research Cluster wishes all students, employees and partners pleasant and relaxing Christmas holidays as well as all the best, good health and every success in the New Year!

As 2016 is coming to an end we would like to take this opportunity to thank all partners for the fruitful cooperation. We hope you enjoyed working together as much as we did and are looking forward to continue our research endeavors in 2017 and beyond.

The BPM Research Cluster Team

PS: We had to use an archive picture as we are currently lacking snow :(

Photo (c) www.innsbruckphoto.at

Andrea's new   on conformance checking of multi-perspective declarative models is now online! In this paper, Andrea and ...
14/12/2016

Andrea's new on conformance checking of multi-perspective declarative models is now online! In this paper, Andrea and his co-authors present an approach for conformance checking based on MP-Declare, a multi-perspective version of the declarative process modeling language Declare, which not only describes the process behavior from the control flow point of view, but also from other perspectives like data or time.

http://bpm.q-e.at/andrea_burattin?page_id=2482

Playing with 3d printers, lasers, artifical eyes, and eye trackers, calling it   :)
12/12/2016

Playing with 3d printers, lasers, artifical eyes, and eye trackers, calling it :)

15/11/2016

Die Nordkette zeigt sich heute wieder von ihrer schönsten und schon ziemlich winterlichen Seite. ☀️🏂⛷

Congratulation to Andrea for winning the Best Demo Award for his work "PLG2: Multiperspective Process Randomization with...
29/09/2016

Congratulation to Andrea for winning the Best Demo Award for his work "PLG2: Multiperspective Process Randomization with Online and Offline Simulations" at BPM 2016 in Rio!

21/09/2016

Jan Mendling is hiring two PhD students :)

Dirk Fahland has prepared a nice blog post summarizing our findings on the process of process modeling accumulated over ...
14/09/2016

Dirk Fahland has prepared a nice blog post summarizing our findings on the process of process modeling accumulated over the last 7 years. If you would like to get an overview about this stream of research, visit his blog!

https://dirksmetric.wordpress.com/2016/09/12/how-do-people-create-process-models/

A summary on 7 years of research on the “Process of Process Modeling” that investigates how modelers operate on the modeling canvas, and how their approach impacts model quality.

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Technikerstraße 21a
Innsbruck
6020

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