Using Decision Diagrams to Compactly Represent the State Space for Explicit Model Checking
This addresses memory limitations in model checking for asynchronous systems, though it appears incremental as it builds on existing decision diagram techniques.
The paper tackles the scalability bottleneck of explicit model checking by using decision diagrams to compactly represent large state spaces, reducing memory demand by avoiding redundant storage of shared local portions between states. Experimental results show the approach is memory efficient with acceptable runtime overhead compared to the SPIN model checker's state compression method.
The enormous number of states reachable during explicit model checking is the main bottleneck for scalability. This paper presents approaches of using decision diagrams to represent very large state space compactly and efficiently. This is possible for asynchronous systems as two system states connected by a transition often share many same local portions. Using decision diagrams can significantly reduce memory demand by not using memory to store the redundant information among different states. This paper considers multi-value decision diagrams for this purpose. Additionally, a technique to reduce the runtime overhead of using these diagrams is also described. Experimental results and comparison with the state compression method as implemented in the model checker SPIN show that the approaches presented in this paper are memory efficient for storing large state space with acceptable runtime overhead.