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<titleInfo><title>Quantitative safety and liveness</title></titleInfo>

  
  
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  <namePart type="given">Thomas A</namePart>
  <namePart type="family">Henzinger</namePart>
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  <namePart type="given">Nicolas Adrien</namePart>
  <namePart type="family">Mazzocchi</namePart>
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  <namePart type="given">Naci E</namePart>
  <namePart type="family">Sarac</namePart>
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  <namePart>FOSSACS: Foundations of Software Science and Computation Structures</namePart>
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  <namePart>Vigilant Algorithmic Monitoring of Software</namePart>
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<abstract lang="eng">Safety and liveness are elementary concepts of computation, and the foundation of many verification paradigms. The safety-liveness classification of boolean properties characterizes whether a given property can be falsified by observing a finite prefix of an infinite computation trace (always for safety, never for liveness). In quantitative specification and verification, properties assign not truth values, but quantitative values to infinite traces (e.g., a cost, or the distance to a boolean property). We introduce quantitative safety and liveness, and we prove that our definitions induce conservative quantitative generalizations of both (1)~the safety-progress hierarchy of boolean properties and (2)~the safety-liveness decomposition of boolean properties. In particular, we show that every quantitative property can be written as the pointwise minimum of a quantitative safety property and a quantitative liveness property. Consequently, like boolean properties, also quantitative properties can be min-decomposed into safety and liveness parts, or alternatively, max-decomposed into co-safety and co-liveness parts. Moreover, quantitative properties can be approximated naturally. We prove that every quantitative property that has both safe and co-safe approximations can be monitored arbitrarily precisely by a monitor that uses only a finite number of states.</abstract>

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<originInfo><publisher>Springer Nature</publisher><dateIssued encoding="w3cdtf">2023</dateIssued><place><placeTerm type="text">Paris, France</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>26th International Conference Foundations of Software Science and Computation Structures</title></titleInfo>
  <identifier type="issn">0302-9743</identifier>
  <identifier type="eIssn">1611-3349</identifier>
  <identifier type="isbn">9783031308284</identifier>
  <identifier type="arXiv">2301.11175</identifier>
  <identifier type="ISI">001288609300017</identifier><identifier type="doi">10.1007/978-3-031-30829-1_17</identifier>
<part><detail type="volume"><number>13992</number></detail><extent unit="pages">349-370</extent>
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<ista>Henzinger TA, Mazzocchi NA, Sarac NE. 2023. Quantitative safety and liveness. 26th International Conference Foundations of Software Science and Computation Structures. FOSSACS: Foundations of Software Science and Computation Structures, LNCS, vol. 13992, 349–370.</ista>
<chicago>Henzinger, Thomas A, Nicolas Adrien Mazzocchi, and Naci E Sarac. “Quantitative Safety and Liveness.” In &lt;i&gt;26th International Conference Foundations of Software Science and Computation Structures&lt;/i&gt;, 13992:349–70. Springer Nature, 2023. &lt;a href=&quot;https://doi.org/10.1007/978-3-031-30829-1_17&quot;&gt;https://doi.org/10.1007/978-3-031-30829-1_17&lt;/a&gt;.</chicago>
<ama>Henzinger TA, Mazzocchi NA, Sarac NE. Quantitative safety and liveness. In: &lt;i&gt;26th International Conference Foundations of Software Science and Computation Structures&lt;/i&gt;. Vol 13992. Springer Nature; 2023:349-370. doi:&lt;a href=&quot;https://doi.org/10.1007/978-3-031-30829-1_17&quot;&gt;10.1007/978-3-031-30829-1_17&lt;/a&gt;</ama>
<ieee>T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “Quantitative safety and liveness,” in &lt;i&gt;26th International Conference Foundations of Software Science and Computation Structures&lt;/i&gt;, Paris, France, 2023, vol. 13992, pp. 349–370.</ieee>
<apa>Henzinger, T. A., Mazzocchi, N. A., &amp;#38; Sarac, N. E. (2023). Quantitative safety and liveness. In &lt;i&gt;26th International Conference Foundations of Software Science and Computation Structures&lt;/i&gt; (Vol. 13992, pp. 349–370). Paris, France: Springer Nature. &lt;a href=&quot;https://doi.org/10.1007/978-3-031-30829-1_17&quot;&gt;https://doi.org/10.1007/978-3-031-30829-1_17&lt;/a&gt;</apa>
<short>T.A. Henzinger, N.A. Mazzocchi, N.E. Sarac, in:, 26th International Conference Foundations of Software Science and Computation Structures, Springer Nature, 2023, pp. 349–370.</short>
<mla>Henzinger, Thomas A., et al. “Quantitative Safety and Liveness.” &lt;i&gt;26th International Conference Foundations of Software Science and Computation Structures&lt;/i&gt;, vol. 13992, Springer Nature, 2023, pp. 349–70, doi:&lt;a href=&quot;https://doi.org/10.1007/978-3-031-30829-1_17&quot;&gt;10.1007/978-3-031-30829-1_17&lt;/a&gt;.</mla>
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