Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2024
Abstract
We study the classical problem of verifying programs with respect to formal specifications given in the linear temporal logic (LTL). We first present novel sound and complete witnesses for LTL verification over imperative programs. Our witnesses are applicable to both verification (proving) and refutation (finding bugs) settings. We then consider LTL formulas in which atomic propositions can be polynomial constraints and turn our focus to polynomial arithmetic programs, i.e. programs in which every assignment and guard consists only of polynomial expressions. For this setting, we provide an efficient algorithm to automatically synthesize such LTL witnesses. Our synthesis procedure is both sound and semi-complete. Finally, we present experimental results demonstrating the effectiveness of our approach and that it can handle programs which were beyond the reach of previous state-of-the-art tools.
Discipline
Artificial Intelligence and Robotics | Programming Languages and Compilers
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Digital transformation
Publication
Proceedings of the 26th International Symposium, FM 2024, Milan, Italy, 2024 September 9-13
First Page
600
Last Page
619
ISBN
978303171161
Identifier
10.1007/978-3-031-71162-6_31
Publisher
Springer
City or Country
Cham
Citation
CHATTERJEE, Krishnendu; GOHARSHADY, Amir; GOHARSHADY, Ehsan; KARRABI, Mehrdad; and ZIKELIC, Dorde.
Sound and complete witnesses for template-based verification of LTL properties on polynomial programs. (2024). Proceedings of the 26th International Symposium, FM 2024, Milan, Italy, 2024 September 9-13. 600-619.
Available at: https://ink.library.smu.edu.sg/sis_research/9339
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-031-71162-6_31
Included in
Artificial Intelligence and Robotics Commons, Programming Languages and Compilers Commons