Aerospace Engineering, Computer Science, Electrical and Computer Engineering
International Conference on Tools and Algorithms for the Construction and Analysis of Systems
Journal or Book Title
Lecture Notes in Computer Science
TACAS 2018: Tools and Algorithms for the Construction and Analysis of Systems
April 14-20, 2018
Modern system design often requires comparing several models over a large design space. Different models arise out of a need to weigh different design choices, to check core capabilities of versions with varying features, or to analyze a future version against previous ones. Model checking can compare different models; however, applying model checking off-the-shelf may not scale due to the large size of the design space for today’s complex systems. We exploit relationships between different models of the same (or related) systems to optimize the model-checking search. Our algorithm, D3 , preprocesses the design space and checks fewer model-checking instances, e.g., using nuXmv. It automatically prunes the search space by reducing both the number of models to check, and the number of LTL properties that need to be checked for each model in order to provide the complete model-checking verdict for every individual model-property pair. We formalize heuristics that improve the performance of D3 . We demonstrate the scalability of D3 by extensive experimental evaluation, e.g., by checking 1,620 real-life models for NASA’s NextGen air traffic control system. Compared to checking each model-property pair individually, D3 is up to 9.4 × faster.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Dureja, Rohit and Rozier, Kristin Yvonne, "More Scalable LTL Model Checking via Discovering Design-Space Dependencies (D3)" (2018). Aerospace Engineering Conference Papers, Presentations and Posters. 37.