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   	<dc:title>Quantitative safety and liveness</dc:title>
   	<dc:title>LNCS</dc:title>
   	<dc:creator>Henzinger, Thomas A ; https://orcid.org/0000-0002-2985-7724</dc:creator>
   	<dc:creator>Mazzocchi, Nicolas Adrien</dc:creator>
   	<dc:creator>Sarac, Naci E</dc:creator>
   	<dc:subject>ddc:000</dc:subject>
   	<dc:description>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.</dc:description>
   	<dc:publisher>Springer Nature</dc:publisher>
   	<dc:date>2023</dc:date>
   	<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
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   	<dc:type>text</dc:type>
   	<dc:identifier>https://research-explorer.ista.ac.at/record/12467</dc:identifier>
   	<dc:identifier>https://research-explorer.ista.ac.at/download/12467/12468</dc:identifier>
   	<dc:identifier>https://research-explorer.ista.ac.at/download/12467/13153</dc:identifier>
   	<dc:source>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;</dc:source>
   	<dc:language>eng</dc:language>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-30829-1_17</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/issn/0302-9743</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/e-issn/1611-3349</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/isbn/9783031308284</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/wos/001288609300017</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/arxiv/2301.11175</dc:relation>
   	<dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
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