Symbolic Semantics for Probabilistic Programs

Author:

Voogd ErikORCID,Johnsen Einar BrochORCID,Silva AlexandraORCID,Susag Zachary J.ORCID,Wąsowski AndrzejORCID

Publisher

Springer Nature Switzerland

Reference32 articles.

1. Baldoni, R., Coppa, E., D’Elia, D.C., Demetrescu, C., Finocchi, I.: A survey of symbolic execution techniques. ACM Comput. Surv. 51(3), 50:1-50:39 (2018)

2. Barthe, G., Katoen, J.P., Silva, A.: Foundations of Probabilistic Programming. Cambridge University Press, Cambridge (2020)

3. de Boer, F.S., Bonsangue, M.: Symbolic execution formally explained. Formal Aspects Comput., 617–636 (2021). https://doi.org/10.1007/s00165-020-00527-y

4. Borgström, J., Gordon, A.D., Greenberg, M., Margetson, J., Van Gael, J.: Measure transformer semantics for Bayesian machine learning. Log. Methods Comput. Sci. 9(3) (2013)

5. Cadar, C., Dunbar, D., Engler, D.R.: KLEE: unassisted and automatic generation of high-coverage tests for complex systems programs. In: Draves, R., van Renesse, R. (eds.) Proceedings 8th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2008), pp. 209–224. USENIX Association (2008)

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1. Denotational Semantics for Symbolic Execution;Theoretical Aspects of Computing – ICTAC 2023;2023

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