Accelerating worst case execution time analysis of timed automata models with cyclic behaviour

Author:

Al-Bataineh Omar1,Reynolds Mark1,French Tim1

Affiliation:

1. School of Computer Science and Software Engineering, University of Western Australia, Perth, Australia

Abstract

Abstract The paper presents a new efficient algorithm for computing worst case execution time (WCET) of systems modelled as timed automata (TA). The algorithm uses a set of abstraction techniques that improve significantly the efficiency of WCET analysis of TA models with cyclic behaviour. We show that the proposed abstractions are exact with respect to the WCET problem in the sense that the WCET computed in the abstract model is equal to the one computed in the concrete model. We also compare our algorithm with the one implemented in the model checker UPPAAL which shows that when infinite cycles exist (i.e. cycles that can be run infinitely often), UPPAAL’s algorithm may not terminate, and when largely repetitive finite cycles exist (i.e. cycles that can be run a large number of times but finite), UPPAAL’s algorithm suffers from the state space explosion, thus leading to a low efficiency or resource exhaustion.

Publisher

Association for Computing Machinery (ACM)

Subject

Theoretical Computer Science,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Quantitative Metric Temporal Logic for Execution-Time Constrained Verification;Cyber Physical Systems. Model-Based Design;2019

2. Scalable and precise estimation and debugging of the worst-case execution time for analysis-friendly processors: a comeback of model checking;International Journal on Software Tools for Technology Transfer;2018-06-11

3. Interactive WCET Prediction with Warning for Timeout Risk;International Journal of Pattern Recognition and Artificial Intelligence;2017-02-27

4. TIC: a scalable model checking based approach to WCET estimation;ACM SIGPLAN Notices;2016-08

5. TIC: a scalable model checking based approach to WCET estimation;Proceedings of the 17th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools, and Theory for Embedded Systems;2016-06-13

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