Benchmark

non-incremental/QF_SLIA/2019-Jiang/slent/slent_kaluza_332_sink.smt2

Publication:
Hung-En Wang, Shih-Yu Chen, Fang Yu, Jie-Hong R. Jiang:
A symbolic model checking approach to the analysis of string and length constraints. ASE 2018: 623-633
Benchmark
Size1250
Compressed Size637
License Creative Commons Attribution 4.0 International (CC-BY-4.0)
Categoryindustrial
First Occurrence2020-07-06
Generated ByHung-En Wang, Shih-Yu Chen, Fang Yu, and Jie-Hong R. Jiang
Generated On2019-02-28 00:00:00
Generatormodified from Kaluza benchmarks
Dolmen OK1
strict Dolmen OK1
check-sat calls1
Query 1
Status unknown
Inferred Status sat
Size 1242
Compressed Size624
Max. Term Depth4
Asserts 9
Declared Functions0
Declared Constants7
Declared Sorts 0
Defined Functions0
Defined Recursive Functions 0
Defined Sorts0
Constants0
Declared Datatypes0

Symbols

not4 =7 -3 <1
str.len1 str.++1 str.to_re1 str.in_re1

Evaluations

Evaluation Rating Solver Variant Result Wallclock CPU Time
SMT-COMP 2022 CVC4 CVC4-sq-final_default sat ✅ 0.01830 0.01864
cvc5 cvc5-default-2022-07-02-b15e116-wrapped_sq sat ✅ 0.02319 0.02376
OSTRICH OSTRICH 1.2_def sat ✅ 1.37244 2.25409
Z3 z3-4.8.17_default sat ✅ 0.05812 0.05975
Z3string Z3str4_default sat ✅ 0.02332 0.02073
SMT-COMP 2025 cvc5 cvc5 sat ✅ 0.26025 0.14014
OSTRICH OSTRICH sat ✅ 1.26323 1.96272
Z3alpha Z3-alpha sat ✅ 0.39877 0.27865
Z3 Z3-alpha-base sat ✅ 0.29156 0.17220
Z3-Noodler-base sat ✅ 0.27890 0.15848
Z3-Noodler Z3-Noodler sat ✅ 0.28295 0.15830
Z3-Noodler-Mocha-base sat ✅ 0.29940 0.17093
Z3-Noodler-Mocha Z3-Noodler-Mocha sat ✅ 0.28938 0.17062