Software Open Access
AIGEN: Random Generation of Symbolic Boolean Functions and Transition Systems
Swen Jacobs;
Mouhammad Sakr
AIGEN is an open source tool for the generation of transition systems in a symbolic representation. To ensure diversity, it employs a uniform random sampling over the space of all Boolean functions with a given number of variables. AIGEN relies on reduced ordered binary decision diagrams (ROBDDs) and canonical disjunctive normal form (CDNF) as canonical representations that allow us to enumerate Boolean functions, in the former case with an encoding that is inspired by data structures used to implement ROBDDs.
Files
(6.6 GB)
| Name | Size | |
|---|---|---|
|
CAV2021.ova
md5:9e143df10123754f7d888526db1db7a3 |
6.6 GB | Download |
353
27
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 353 | 157 |
| Downloads | 27 | 18 |
| Data volume | 181.5 GB | 118.4 GB |
| Unique views | 311 | 150 |
| Unique downloads | 26 | 17 |
Indexed in
- Publication date:
- April 26, 2021
- DOI:
-
- Keyword(s):
- Random Generation of Transition Systems Random Generation of Symbolic Transition Systems Random Generation of Boolean Functions
- License (for files):
- Creative Commons Attribution 4.0 International