Abstract
We present a trace-driven SMT-based symbolic debugging tool for MCAPI (Multicore Association Communication API) applications. MCAPI is a newly proposed standard that provides an API for connectionless and connection-oriented communication in multicore applications. Our tool obtains a trace by executing an instrumented MCAPI. The collected trace is then encoded into an SMT formula such that its satisfiability indicates the existence of a reachable error state such as an assertion failure.
The work was funded in part by NSF grant CCF-0811287 and ONR Grant N000140910740.
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Elwakil, M., Yang, Z., Wang, L. (2010). CRI: Symbolic Debugger for MCAPI Applications. In: Bouajjani, A., Chin, WN. (eds) Automated Technology for Verification and Analysis. ATVA 2010. Lecture Notes in Computer Science, vol 6252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15643-4_27
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DOI: https://doi.org/10.1007/978-3-642-15643-4_27
Publisher Name: Springer, Berlin, Heidelberg
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