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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
We develop compositional analysis algorithms for detecting nontermination in multithreaded programs. Our analysis explores fair and ultimatelyperiodic executions-i.e., those in which the infinitely-often enabled threads repeatedly execute the same sequences of actions over and over. By limiting the number of context-switches each thread is allowed along any repeating action sequence, our algorithm quickly discovers practically-arising non-terminating executions. Limiting the number of<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-31424-7_19">doi:10.1007/978-3-642-31424-7_19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yjqy3biq2rdjpmaaa6rzow3xh4">fatcat:yjqy3biq2rdjpmaaa6rzow3xh4</a> </span>
more »... itches in each period leads to a compositional analysis in which we consider each thread separately, in isolation, and reduces the search for fair ultimately-periodic executions in multithreaded programs to state-reachability in sequential programs. We implement our analysis by a systematic code-to-code translation from multithreaded programs to sequential programs. By leveraging standard sequential analysis tools, our prototype tool MUTANT is able to discover fair non-terminating executions in typical mutual exclusion protocols and concurrent data-structure algorithms.
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