Control-Flow Refinement for Complexity Analysis of Probabilistic Programs in KoAT
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866911917417693184 |
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| author | Lommen, Nils Meyer, Éléanore Giesl, Jürgen |
| author_facet | Lommen, Nils Meyer, Éléanore Giesl, Jürgen |
| contents | Recently, we showed how to use control-flow refinement (CFR) to improve automatic complexity analysis of integer programs. While up to now CFR was limited to classical programs, in this paper we extend CFR to probabilistic programs and show its soundness for complexity analysis. To demonstrate its benefits, we implemented our new CFR technique in our complexity analysis tool KoAT. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2402_03891 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Control-Flow Refinement for Complexity Analysis of Probabilistic Programs in KoAT Lommen, Nils Meyer, Éléanore Giesl, Jürgen Logic in Computer Science Recently, we showed how to use control-flow refinement (CFR) to improve automatic complexity analysis of integer programs. While up to now CFR was limited to classical programs, in this paper we extend CFR to probabilistic programs and show its soundness for complexity analysis. To demonstrate its benefits, we implemented our new CFR technique in our complexity analysis tool KoAT. |
| title | Control-Flow Refinement for Complexity Analysis of Probabilistic Programs in KoAT |
| topic | Logic in Computer Science |
| url | https://arxiv.org/abs/2402.03891 |