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- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Mrowca, Artur; Nocker, Martin; Steinhorst, Sebastian; Guennemann, Stephan
- Titel:
- Learning Temporal Specifications from Imperfect Traces Using Bayesian Inference
- Stichworte:
- bayesian inference, data-driven verification, path merging, specification mining
- Kongress- / Buchtitel:
- Proceedings of the 56th Design Automation Conference (DAC 2019)
- Verlag / Institution:
- ACM
- Verlagsort:
- New York, NY, USA
- Jahr:
- 2019
- Monat:
- 6
- Seiten:
- 96:1--96:6
- Print-ISBN:
- 978-1-4503-6725-7
- Serientitel:
- DAC '19
- Volltext / DOI:
- doi:10.1145/3316781.3317847
- WWW:
- https://s-steinhorst.github.io/PDF/2019-DAC-Learning Temporal Specifications from Imperfect Traces using Bayesian Inference.pdf
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