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        <identifier>oai:drops-oai.dagstuhl.de:18217</identifier>
        <datestamp>2024-03-06T11:01:24Z</datestamp>
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          <dc:title>Toward Tool-Independent Summaries for Symbolic Execution</dc:title>
          <dc:creator>Ramos, Frederico</dc:creator>
          <dc:creator>Sabino, Nuno</dc:creator>
          <dc:creator>Adão, Pedro</dc:creator>
          <dc:creator>Naumann, David A.</dc:creator>
          <dc:creator>Fragoso Santos, José</dc:creator>
          <dc:subject>Symbolic Execution</dc:subject>
          <dc:subject>Runtime Modelling</dc:subject>
          <dc:subject>Symbolic Summaries</dc:subject>
          <dc:description>We introduce a new symbolic reflection API for implementing tool-independent summaries for the symbolic execution of C programs. We formalise the proposed API as a symbolic semantics and extend two state-of-the-art symbolic execution tools with support for it. Using the proposed API, we implement 67 tool-independent symbolic summaries for a total of 26 libc functions. Furthermore, we present SumBoundVerify, a fully automatic summary validation tool for checking the bounded correctness of the symbolic summaries written using our symbolic reflection API. We use SumBoundVerify to validate 37 symbolic summaries taken from 3 state-of-the-art symbolic execution tools, angr, Binsec and Manticore, detecting a total of 24 buggy summaries.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Frederico Ramos and Nuno Sabino and Pedro Adão and David A. Naumann and José Fragoso Santos</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 263, 37th European Conference on Object-Oriented Programming (ECOOP 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ECOOP.2023.24</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-182171</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2023.24</dc:identifier>
          <dc:language>eng</dc:language>
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