Related Experiment Video
Updated: Feb 17, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research
Published on: November 24, 2021
Reproducible and flexible simulation experiments with ML-Rules and SESSL
T Warnke1, T Helms1, A M Uhrmacher1
1University of Rostock, Institute of Computer Science, Albert-Einstein-Straße 22, 18059 Rostock, Germany.
Summary:
The modeling language ML-Rules allows specifying and simulating complex systems biology models at multiple levels of organization. The development of such simulation models involves a wide variety of simulation experiments and the replicability of generated simulation results requires suitable means for documenting simulation experiments. Embedded domain-specific languages, such as SESSL, cater both requirements. With SESSL, the user can integrate diverse simulation experimentation methods and third-party software components into an executable, readable simulation experiment specification. A newly developed SESSL binding for ML-Rules exploits these features of SESSL, opening up new possibilities for executing and documenting simulation experiments with ML-Rules models.
Availability And Implementation:
ML-Rules is implemented in Java, SESSL and its bindings are implemented in Scala. The source code is available under open-source licenses: ML-Rulesgit.informatik.uni-rostock.de/mosi/mlrules2ML-Rules Quickstart (Graphical Editor)git.informatik.uni-rostock.de/mosi/mlrules2-quickstartSESSLgit.informatik.uni-rostock.de/mosi/sessl and sessl.orgSESSL Quickstart (Experiment Template)git.informatik.uni-rostock.de/mosi/sessl-quickstart Furthermore, Maven-compatible compiled packages of ML-Rules, SESSL, and the SESSL bindings are available from the Maven Central Repository at maven.org (org.sessl:* and org.jamesii:mlrules).
Supplementary Material:
The supplementary material contains a more complex case study that exemplifies the usage of the SESSL binding for ML-Rules.
Contact:
tom.warnke@uni-rostock.de.
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