Abstract
We present a formal framework for the online black-box monitoring of software using monitors with quantitative verdict functions. Quantitative verdict functions have several advantages. First, quantitative monitors can be approximate, i.e., the value of the verdict function does not need to correspond exactly to the value of the property under observation. Second, quantitative monitors can be quantified universally, i.e., for every possible observed behavior, the monitor tries to make the best effort to estimate the value of the property under observation. Third, quantitative monitors can watch boolean as well as quantitative properties, such as average response time. Fourth, quantitative monitors can use non-finite-state resources, such as counters. As a consequence, quantitative monitors can be compared according to how many resources they use (e.g., the number of counters) and how precisely they approximate the property under observation. This allows for a rich spectrum of cost-precision trade-offs in monitoring software.
The formal framework for quantitative monitoring which is presented in this invited talk was defined jointly with N. Ege Saraç at LICS 2021. This work was supported in part by the Wittgenstein Award Z211-N23 of the Austrian Science Fund.
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Acknowledgment
I thank Ege Saraç for commenting on a draft of this text.
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Henzinger, T.A. (2022). Quantitative Monitoring of Software. In: Bloem, R., Dimitrova, R., Fan, C., Sharygina, N. (eds) Software Verification. NSV VSTTE 2021 2021. Lecture Notes in Computer Science(), vol 13124. Springer, Cham. https://doi.org/10.1007/978-3-030-95561-8_1
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DOI: https://doi.org/10.1007/978-3-030-95561-8_1
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