Robustness Analysis for Value-Freezing Signal Temporal Logic
L. Brim (Masaryk University), T. Vejpustek (Masaryk University), D., \v{S}afr\'anek (Masaryk University), J. Fabrikov\'a (Masaryk University)

TL;DR
This paper introduces robustness measures for STL*, an extension of Signal Temporal Logic with value freezing, and presents an algorithm for robustness computation implemented in Parasim, demonstrated through case studies.
Contribution
It defines robustness measures for STL*, adapting from MTL, and provides an algorithm and tool for practical robustness analysis.
Findings
Robustness measures for STL* are successfully defined.
Algorithm for STL* robustness computation is developed and implemented.
Case studies demonstrate the effectiveness of the approach.
Abstract
In our previous work we have introduced the logic STL*, an extension of Signal Temporal Logic (STL) that allows value freezing. In this paper, we define robustness measures for STL* by adapting the robustness measures previously introduced for Metric Temporal Logic (MTL). Furthermore, we present an algorithm for STL* robustness computation, which is implemented in the tool Parasim. Application of STL* robustness analysis is demonstrated on case studies.
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