Campus Units

Aerospace Engineering, Computer Science, Electrical and Computer Engineering

Document Type

Conference Proceeding


International Conference on Tools and Algorithms for the Construction and Analysis of Systems

Publication Version

Published Version

Publication Date


Journal or Book Title

Lecture Notes in Computer Science



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Conference Title

TACAS 2018: Tools and Algorithms for the Construction and Analysis of Systems

Conference Date

April 14-20, 2018


Thessaloniki, Greece


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.


This is proceeding is published as Dureja R., Rozier K.Y. "More Scalable LTL Model Checking via Discovering Design-Space Dependencies (D3)." In: Beyer D., Huisman M. (eds.) Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2018. Lecture Notes in Computer Science 10805 (2018): 309. DOI: 10.1007/978-3-319-89960-2_17. Posted with permission.

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Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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