ChatGPT for PLC/DCS Control Logic Generation

B. Vogel-Heuser, D. Witsch, and U. Katzke, “Automatic code generation from a UML model to IEC 61131-3 and system configuration tools,” in 2005 International Conference on Control and Automation , vol. 2. IEEE, 2005, pp. 1034–1039

2005

Earlier work this paper cites.

R. Drath, A. Fay, and T. Schmidberger, “Computer-aided design and implementation of interlock control code,” in IEEE Conference on Computer Aided Control System Design . IEEE, 2006, pp. 2653–2658

2006

Earlier work this paper cites.

D. Hästbacka, T. Vepsäläinen, and S. Kuikka, “Model-driven development of industrial process control applications,” Journal of Systems and Software , vol. 84, no. 7, pp. 1100–1113, 2011

2011

Earlier work this paper cites.

K. Thramboulidis and G. Frey, “An MDD process for IEC 61131-based industrial automation systems,” in ETFA2011 . IEEE, 2011, pp. 1–8

2011

Earlier work this paper cites.

M. Steinegger and A. Zoitl, “Automated code generation for programmable logic controllers based on knowledge acquisition from engineering artifacts: Concept and case study,” in Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012) . IEEE, 2012, pp. 1–8

2012

Earlier work this paper cites.

R. Julius, M. Schürenberg, F. Schumacher, and A. Fay, “Transformation of grafcet to plc code including hierarchical structures,” Control Engineering Practice , vol. 64, pp. 173–194, 2017

2017

Earlier work this paper cites.

G. Koltun, M. Kolter, and B. Vogel-Heuser, “Automated Generation of Modular PLC Control Software from P&ID Diagrams in Process Industry,” in 2018 IEEE International Systems Engineering Symposium (ISSE) . IEEE, 2018, pp. 1–8

2018

Earlier work this paper cites.

R. Drath and I. Ingebrigtsen, “Digitalization of the iec pas 63131 standard with automationml,” in 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) , vol. 1. IEEE, 2018, pp. 901–909

2018

Cited alongside, same era.

D. Mohan, R. Jetley, and S. D. Sudarsan, “Learning based probabilistic model for migration of industrial control systems,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . IEEE, 2019, pp. 87–94

2019

Cited alongside, same era.

H. Koziolek, A. Burger, M. Platenius-Mohr, and R. Jetley, “A classification framework for automated control code generation in industrial automation,” Journal of Systems and Software , vol. 166, p. 110575, 2020

2020

Cited alongside, same era.

H. Koziolek, A. Burger, M. Platenius-Mohr, J. Rückert, H. Abukwaik, and R. Jetley, “Rule-based code generation in industrial automation: four large-scale case studies applying the cayenne method,” in Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Practice , 2020, pp. 152–161

M. Welsh, “The end of programming,” Communications of the ACM , vol. 66, no. 1, pp. 34–35, 2022

2022

Later among the works it cites.

J. Y. Khan and G. Uddin, “Automatic code documentation generation using gpt-3,” in 37th IEEE/ACM International Conference on Automated Software Engineering , 2022, pp. 1–6

2022

Later among the works it cites.

C. Zhou, Q. Li, C. Li, J. Yu, Y. Liu, G. Wang, K. Zhang, C. Ji, Q. Yan, L. He et al. , “A comprehensive survey on pretrained foundation models: A history from bert to chatgpt,” arXiv preprint arXiv:2302.09419 , 2023

Original

2023

Closest in time.

S. Peng, E. Kalliamvakou, P. Cihon, and M. Demirer, “The impact of ai on developer productivity: Evidence from github copilot,” arXiv preprint arXiv:2302.06590 , 2023

Original

2023

Closest in time.

A. Borji, “A categorical archive of chatgpt failures,” arXiv preprint arXiv:2302.03494 , 2023