Publication Type
Journal Article
Version
acceptedVersion
Publication Date
9-2023
Abstract
Programmable Logic Controllers (PLCs) are responsible for automating process control in many industrial systems (e.g. in manufacturing and public infrastructure), and thus it is critical to ensure that they operate correctly and safely. The majority of PLCs are programmed in languages such as Structured Text (ST). However, a lack of formal semantics makes it difficult to ascertain the correctness of their translators and compilers, which vary from vendor-to-vendor. In this work, we develop K-ST, a formal executable semantics for ST in the K framework. Defined with respect to the IEC 61131-3 standard and PLC vendor manuals, K-ST is a high-level reference semantics that can be used to evaluate the correctness and consistency of different ST implementations. We validate K-ST by executing 567 ST programs extracted from GitHub and comparing the results against existing commercial compilers (i.e., CODESYS, CX-Programmer, and GX Works2). We then apply K-ST to validate the implementation of the open source OpenPLC platform, comparing the executions of several test programs to uncover five bugs and nine functional defects in the compiler.
Keywords
formal executable semantics, PLC programming, structured text, K framework, OpenPLC
Discipline
Programming Languages and Compilers | Software Engineering | Theory and Algorithms
Research Areas
Software and Cyber-Physical Systems
Publication
IEEE Transactions on Software Engineering
Volume
49
Issue
10
First Page
4796
Last Page
4813
ISSN
0098-5589
Identifier
10.1109/TSE.2023.3315292
Publisher
Institute of Electrical and Electronics Engineers
Citation
WANG, Kun; WANG, Jingyi; POSKITT, Christopher M.; CHEN, Xiangxiang; SUN, Jun; and CHENG, Peng.
K-ST: A formal executable semantics of the structured text language for PLCs. (2023). IEEE Transactions on Software Engineering. 49, (10), 4796-4813.
Available at: https://ink.library.smu.edu.sg/sis_research/8199
Copyright Owner and License
Authors
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/10.1109/TSE.2023.3315292
Included in
Programming Languages and Compilers Commons, Software Engineering Commons, Theory and Algorithms Commons