DiPS: A Tool for Data-Informed Parameter Synthesis for Markov Chains from Multiple-Property Specifications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00119728" target="_blank" >RIV/00216224:14330/21:00119728 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-91825-5_5" target="_blank" >http://dx.doi.org/10.1007/978-3-030-91825-5_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-91825-5_5" target="_blank" >10.1007/978-3-030-91825-5_5</a>
Alternative languages
Result language
angličtina
Original language name
DiPS: A Tool for Data-Informed Parameter Synthesis for Markov Chains from Multiple-Property Specifications
Original language description
We present a tool for inferring the parameters of a Discrete-time Markov chain (DTMC) with respect to properties written in probabilistic temporal logic (PCTL) informed by data observations. The tool combines, in a modular and user-friendly way, the existing methods and tools for parameter synthesis of DTMCs. On top of this, the tool implements several hybrid methods for the exploration of the parameter space based on utilising the intermediate results of parametric model checking – the symbolic representation of properties’ satisfaction in the form of rational functions. These methods are combined to support three different parameter exploration methods: (i) optimisation, (ii) parameter synthesis, (iii) Bayesian parameter inference. Each of the available methods makes a different trade-off between scalability and inference quality, which can be chosen by the user depending on the application context. In this paper, we present the implementation, the main features of the tool, and we evaluate its performance on several benchmarks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA18-00178S" target="_blank" >GA18-00178S: Discrete Bifurcation Analysis of Reactive Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Performance Engineering and Stochastic Modeling
ISBN
9783030918248
ISSN
0302-9743
e-ISSN
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Number of pages
17
Pages from-to
79-95
Publisher name
Springer
Place of publication
Cham
Event location
Tsukuba
Event date
Jan 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000766389200005