Mining constraints for event-based monitoring in systems of systems

@article{Krismayer2017MiningCF,
  title={Mining constraints for event-based monitoring in systems of systems},
  author={Thomas Krismayer and Rick Rabiser and Paul Gr{\"u}nbacher},
  journal={2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year={2017},
  pages={826-831}
}
The full behavior of software-intensive systems of systems (SoS) emerges during operation only. Runtime monitoring approaches have thus been proposed to detect deviations from the expected behavior. They commonly rely on temporal logic or domain-specific languages to formally define requirements, which are then checked by analyzing the stream of monitored events and event data. Some approaches also allow developers to generate constraints from declarative specifications of the expected behavior… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-5 OF 5 CITATIONS

Learning Software Configuration Spaces: A Systematic Literature Review

VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Automatic Mining of Constraints for Monitoring Systems of Systems

  • Thomas Krismayer
  • Computer Science
  • 2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • 2018
VIEW 2 EXCERPTS

References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

Developing a DSL-Based Approach for Event-Based Monitoring of Systems of Systems: Experiences and Lessons Learned (E)

VIEW 5 EXCERPTS

Process Mining Manifesto

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

The WEKA data mining software: an update

VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL