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Computer Science > Logic in Computer Science

arXiv:2208.12723 (cs)
[Submitted on 25 Aug 2022 (v1), last revised 23 Oct 2022 (this version, v2)]

Title:Software Performability Analysis Using Fast Parametric Model Checking

Authors:Xinwei Fang, Radu Calinescu, Simos Gerasimou, Faisal Alhwikem
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Abstract:We present an efficient parametric model checking (PMC) technique for the analysis of software performability, i.e., of the performance and dependability properties of software systems. The new PMC technique works by automatically decomposing a parametric discrete-time Markov chain (pDTMC) model of the software system under verification into fragments that can be analysed independently, yielding results that are then combined to establish the required software performability properties. Our fast parametric model checking (fPMC) technique enables the formal analysis of software systems modelled by pDTMCs that are too complex to be handled by existing PMC methods. Furthermore, for many pDTMCs that state-of-the-art parametric model checkers can analyse, fPMC produces solutions (i.e., algebraic formulae) that are simpler and much faster to evaluate. We show experimentally that adding fPMC to the existing repertoire of PMC methods improves the efficiency of parametric model checking significantly, and extends its applicability to software systems with more complex behaviour than currently possible.
Subjects: Logic in Computer Science (cs.LO)
Cite as: arXiv:2208.12723 [cs.LO]
  (or arXiv:2208.12723v2 [cs.LO] for this version)
  https://doi.org/10.48550/arXiv.2208.12723

Submission history

From: Xinwei Fang [view email]
[v1] Thu, 25 Aug 2022 09:32:07 UTC (2,072 KB)
[v2] Sun, 23 Oct 2022 19:50:23 UTC (2,073 KB)
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