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<titleInfo><title>Modular verification for almost-sure termination of probabilistic programs</title></titleInfo>


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<name type="personal">
  <namePart type="given">Mingzhang</namePart>
  <namePart type="family">Huang</namePart>
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<name type="personal">
  <namePart type="given">Hongfei</namePart>
  <namePart type="family">Fu</namePart>
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<name type="personal">
  <namePart type="given">Krishnendu</namePart>
  <namePart type="family">Chatterjee</namePart>
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<name type="personal">
  <namePart type="given">Amir Kafshdar</namePart>
  <namePart type="family">Goharshady</namePart>
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  <namePart>OOPSLA: Object-oriented Programming, Systems, Languages and Applications</namePart>
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  <namePart>Efficient Algorithms for Computer Aided Verification</namePart>
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<name type="corporate">
  <namePart>Game Theory</namePart>
  <role><roleTerm type="text">project</roleTerm></role>
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<name type="corporate">
  <namePart>Quantitative Graph Games: Theory and Applications</namePart>
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<name type="corporate">
  <namePart>Quantitative Analysis of Probabilistic Systems with a focus on Crypto-Currencies</namePart>
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  <namePart>Quantitative Game-theoretic Analysis of Blockchain Applications and Smart Contracts</namePart>
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<abstract lang="eng">In this work, we consider the almost-sure termination problem for probabilistic programs that asks whether a
given probabilistic program terminates with probability 1. Scalable approaches for program analysis often
rely on modularity as their theoretical basis. In non-probabilistic programs, the classical variant rule (V-rule)
of Floyd-Hoare logic provides the foundation for modular analysis. Extension of this rule to almost-sure
termination of probabilistic programs is quite tricky, and a probabilistic variant was proposed in [16]. While the
proposed probabilistic variant cautiously addresses the key issue of integrability, we show that the proposed
modular rule is still not sound for almost-sure termination of probabilistic programs.
Besides establishing unsoundness of the previous rule, our contributions are as follows: First, we present a
sound modular rule for almost-sure termination of probabilistic programs. Our approach is based on a novel
notion of descent supermartingales. Second, for algorithmic approaches, we consider descent supermartingales
that are linear and show that they can be synthesized in polynomial time. Finally, we present experimental
results on a variety of benchmarks and several natural examples that model various types of nested while
loops in probabilistic programs and demonstrate that our approach is able to efficiently prove their almost-sure
termination property</abstract>

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<originInfo><publisher>ACM</publisher><dateIssued encoding="w3cdtf">2019</dateIssued><place><placeTerm type="text">Athens, Greece</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications </title></titleInfo>
  <identifier type="arXiv">1901.06087</identifier><identifier type="doi">10.1145/3360555</identifier>
<part><detail type="volume"><number>3</number></detail>
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<bibliographicCitation>
<apa>Huang, M., Fu, H., Chatterjee, K., &amp;#38; Goharshady, A. K. (2019). Modular verification for almost-sure termination of probabilistic programs. In &lt;i&gt;Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications &lt;/i&gt; (Vol. 3). Athens, Greece: ACM. &lt;a href=&quot;https://doi.org/10.1145/3360555&quot;&gt;https://doi.org/10.1145/3360555&lt;/a&gt;</apa>
<short>M. Huang, H. Fu, K. Chatterjee, A.K. Goharshady, in:, Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications , ACM, 2019.</short>
<mla>Huang, Mingzhang, et al. “Modular Verification for Almost-Sure Termination of Probabilistic Programs.” &lt;i&gt;Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications &lt;/i&gt;, vol. 3, 129, ACM, 2019, doi:&lt;a href=&quot;https://doi.org/10.1145/3360555&quot;&gt;10.1145/3360555&lt;/a&gt;.</mla>
<ieee>M. Huang, H. Fu, K. Chatterjee, and A. K. Goharshady, “Modular verification for almost-sure termination of probabilistic programs,” in &lt;i&gt;Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications &lt;/i&gt;, Athens, Greece, 2019, vol. 3.</ieee>
<chicago>Huang, Mingzhang, Hongfei Fu, Krishnendu Chatterjee, and Amir Kafshdar Goharshady. “Modular Verification for Almost-Sure Termination of Probabilistic Programs.” In &lt;i&gt;Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications &lt;/i&gt;, Vol. 3. ACM, 2019. &lt;a href=&quot;https://doi.org/10.1145/3360555&quot;&gt;https://doi.org/10.1145/3360555&lt;/a&gt;.</chicago>
<ama>Huang M, Fu H, Chatterjee K, Goharshady AK. Modular verification for almost-sure termination of probabilistic programs. In: &lt;i&gt;Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications &lt;/i&gt;. Vol 3. ACM; 2019. doi:&lt;a href=&quot;https://doi.org/10.1145/3360555&quot;&gt;10.1145/3360555&lt;/a&gt;</ama>
<ista>Huang M, Fu H, Chatterjee K, Goharshady AK. 2019. Modular verification for almost-sure termination of probabilistic programs. Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications . OOPSLA: Object-oriented Programming, Systems, Languages and Applications vol. 3, 129.</ista>
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