Title :
Set manipulation with Boolean functional vectors for symbolic reachability analysis
Author :
Goel, Amit ; Bryant, Randal E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Symbolic techniques usually use characteristic functions for representing sets of states. Boolean functional vectors provide an alternate set representation which is suitable for symbolic simulation. Their use in symbolic reachability analysis and model checking is limited, however, by the lack of algorithms for performing set operations. We present algorithms for set union, intersection and quantification that work with a canonical Boolean functional vector representation and show how this enables efficient symbolic simulation based reachability analysis. Our experimental results for reachability analysis indicate that the Boolean functional vector representation is often more compact than the corresponding characteristic function, thus giving significant performance improvements on some benchmarks.
Keywords :
Boolean functions; binary decision diagrams; circuit simulation; network analysis; reachability analysis; set theory; symbol manipulation; BDD; Boolean functional vectors; binary decision diagrams; canonical Boolean functional vector representation; model checking; set intersection; set manipulation; set quantification; set representation; set union; simulation based state-traversal; symbolic reachability analysis; symbolic simulation; Analytical models; Boolean functions; Circuit simulation; Computational modeling; Computer science; Data structures; Encoding; Image converters; Iterative algorithms; Reachability analysis;
Conference_Titel :
Design, Automation and Test in Europe Conference and Exhibition, 2003
Print_ISBN :
0-7695-1870-2
DOI :
10.1109/DATE.2003.1253707