SMT-Based Context-Bounded Model Checking for Embedded Systems

Author:

Cordeiro Lucas C.1,de Lima Filho Eddie B.2

Affiliation:

1. Federal University of Amazonas, Brazil

2. Science, Technology, and Innovation Center for the Industrial Pole of Manaus, Brazil

Abstract

The dependency on the correct functioning of embedded systems is rapidly growing, mainly due to their wide range of applications, such as micro-grids, automotive device control (e.g., airbag control), health care, surveillance, mobile devices, and consumer electronics. Their structures are becoming more and more complex and now require multi-core processors with scalable shared memory, in order to meet increasing computational power demands. As a consequence, reliability of embedded (distributed) software becomes a key issue during system development, which must be carefully addressed and assured. Normally, state-of-the-art verification methodologies for embedded systems generate test vectors (with constraints) and use assertion-based verification and highlevel processor models, during simulation; however, other additional challenges have been raised: the need for meeting time and energy constraints, handling concurrent software, dealing with platform restrictions, evaluating implementation-structure choices, and supporting new software architectures and legacy designs (usually written in low-level languages). The present paper discusses challenges, problems, and recent advances to ensure correctness and timeliness regarding embedded systems. Reliability issues, in the development of micro-grids and cyber-physical systems, are then considered, as a prominent (bounded) model checking application.

Publisher

Association for Computing Machinery (ACM)

Cited by 2 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. Automated planning for finding alternative bug traces;IET Computers & Digital Techniques;2020-09-18

2. HiFrog: SMT-based Function Summarization for Software Verification;Tools and Algorithms for the Construction and Analysis of Systems;2017

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