Benchmark
non-incremental/QF_SLIA/2019-Jiang/slent/slent_stranger_str_rep_30039_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 |
|---|
| Size | 11956 |
| Compressed Size | 2055 |
| License |
Creative Commons Attribution 4.0 International
(CC-BY-4.0)
|
| Category | industrial |
| First Occurrence | 2020-07-06 |
| Generated By | Hung-En Wang, Shih-Yu Chen, Fang Yu, and Jie-Hong R. Jiang |
| Generated On | 2019-02-28 00:00:00 |
| Generator | modified from Stranger benchmarks (with string-to-string replace-all) |
| Dolmen OK | 1 |
| strict Dolmen OK | 1 |
| check-sat calls | 1 |
| Status | unknown |
| Inferred Status | unsat |
| Size | 11948 |
| Compressed Size | 2039 |
| Max. Term Depth | 7 |
| Asserts | 64 |
| Declared Functions | 0 |
| Declared Constants | 139 |
| Declared Sorts | 0 |
| Defined Functions | 0 |
| Defined Recursive Functions | 0 |
| Defined Sorts | 0 |
| Constants | 0 |
| Declared Datatypes | 0 |
Symbols
or | 16 |
and | 75 |
= | 112 |
+ | 1 |
> | 1 |
str.len | 2 |
str.++ | 18 |
str.replace | 1 |
str.to_re | 8 |
re.* | 3 |
re.range | 6 |
re.++ | 4 |
re.union | 7 |
str.in_re | 3 |
| | | |
Evaluations
| Evaluation |
Rating |
Solver |
Variant |
Result |
Wallclock |
CPU Time |
|
SMT-COMP 2021
|
0.25 (3/4) |
CVC4 |
CVC4-sq-final_default |
unsat ✅
|
313.31900
|
303.25900
|
| |
cvc5 |
cvc5-fixed_default |
unsat ✅
|
320.16800
|
303.32200
|
| |
Z3 |
z3-4.8.11_default |
unsat ✅
|
6.78572
|
6.78521
|
| |
Z3string |
Z3str4 SMTCOMP 2021 v1.1_default |
unknown ❌
|
1200.10000
|
1199.70000
|
|
SMT-COMP 2025
|
0.17 (5/6) |
cvc5 |
cvc5 |
unsat ✅
|
302.21660
|
302.04775
|
| |
OSTRICH |
OSTRICH |
unknown ❌
|
1201.29822
|
1279.70890
|
| |
Z3alpha |
Z3-alpha |
unsat ✅
|
3.76799
|
13.73783
|
| |
Z3 |
Z3-alpha-base |
unsat ✅
|
139.05520
|
138.90243
|
| |
|
Z3-Noodler-base |
unknown ❌
|
1201.39397
|
1201.15499
|
| |
Z3-Noodler |
Z3-Noodler |
unsat ✅
|
0.37356
|
0.25096
|
| |
|
Z3-Noodler-Mocha-base |
unsat ✅
|
0.40469
|
0.28621
|
| |
Z3-Noodler-Mocha |
Z3-Noodler-Mocha |
unsat ✅
|
0.39348
|
0.27770
|