Abstract
This paper studies the efficiency of several probabilistic model checkers by comparing verification times and peak memory usage for a set of standard case studies. The study considers the model checkers ETMCC, MRMC, PRISM (sparse and hybrid mode), YMER and VESTA, and focuses on fully probabilistic systems. Several of our experiments show significantly different run times and memory consumptions between the tools—up to various orders of magnitude—without, however, indicating a clearly dominating tool. For statistical model checking YMER clearly prevails whereas for the numerical tools MRMC and PRISM (sparse) are rather close
| Original language | Undefined |
|---|---|
| Title of host publication | Hardware and Software: Verification and Testing, Proceedings of the Third International Haifa Verification Conference, HVC 2007 |
| Editors | K. Yohav |
| Place of Publication | London |
| Publisher | Springer |
| Pages | 69-85 |
| Number of pages | 17 |
| ISBN (Print) | 978-3-540-77964-3 |
| DOIs | |
| Publication status | Published - Feb 2008 |
| Event | Hardware and Software: Verification and Testing, Third International Haifa Verification Conference, HVC 2007, Haifa, Israel: Hardware and Software: Verification and Testing, Proceedings of the Third International Haifa Verification Conference, HVC 2007 - London Duration: 1 Feb 2008 → … |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer Verlag |
| Number | 2008/16200 |
| Volume | 4899 |
Conference
| Conference | Hardware and Software: Verification and Testing, Third International Haifa Verification Conference, HVC 2007, Haifa, Israel |
|---|---|
| City | London |
| Period | 1/02/08 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- EWI-14722
- METIS-255052
- IR-62646
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