research-article

Rule-based code generation in industrial automation: four large-scale case studies applying the CAYENNE method

Authors:

Heiko Koziolek,

Andreas Burger,

Marie Platenius-Mohr,

Julius Rückert,

Hadil Abukwaik,

Abdulla P PAuthors Info & Claims

ICSE-SEIP '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Practice

Pages 152 - 161

https://doi.org/10.1145/3377813.3381354

Published: 18 September 2020 Publication History

Abstract

Software development for industrial automation applications is a growing market with high economic impact. Control engineers design and implement software for such systems using standardized programming languages (IEC 61131-3) and still require substantial manual work causing high engineering costs and potential quality issues. Methods for automatically generating control logic using knowledge extraction from formal requirements documents have been developed, but so far only been demonstrated in simplified lab settings. We have executed four case studies on large industrial plants with thousands of sensors and actuators for a rule-based control logic generation approach called CAYENNE to determine its practicability. We found that we can generate more than 70 percent of the required interlocking control logic with code generation rules that are applicable across different plants. This can lead to estimated overall development cost savings of up to 21 percent, which provides a promising outlook for methods in this class.

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https://doi.org/10.1109/ICICT62343.2024.00096
Koziolek HAshiwal VBandyopadhyay SR C(2024)Automated Control Logic Test Case Generation using Large Language Models2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA61755.2024.10711016(1-8)Online publication date: 10-Sep-2024
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Published In

cover image ACM Conferences

ICSE-SEIP '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Practice

June 2020

258 pages

ISBN:9781450371230

DOI:10.1145/3377813

General Chairs:
Gregg Rothermel
North Carolina State University
,
Doo-Hwan Bae
KAIST, South Korea

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 September 2020

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ICSE '20: 42nd International Conference on Software Engineering

June 27 - July 19, 2020

Seoul, South Korea

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Cited By

TAN WChunYuYAU PKEOH STSO EWONG DTANG L(2024)Performance Measurement in Optimizing Customer Relationship Management Systems through Robotic Process Automation with FlaUI2024 7th International Conference on Information and Computer Technologies (ICICT)10.1109/ICICT62343.2024.00096(549-556)Online publication date: 15-Mar-2024
https://doi.org/10.1109/ICICT62343.2024.00096
Koziolek HAshiwal VBandyopadhyay SR C(2024)Automated Control Logic Test Case Generation using Large Language Models2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA61755.2024.10711016(1-8)Online publication date: 10-Sep-2024
https://doi.org/10.1109/ETFA61755.2024.10711016
Grüner SHoernicke MStark KSchoch NEskandani NPretlove J(2023)Towards asset administration shell-based continuous engineering in process industriesat - Automatisierungstechnik10.1515/auto-2023-001271:8(689-708)Online publication date: 8-Aug-2023
https://doi.org/10.1515/auto-2023-0012
Koziolek HHark REskandani NNguyen PRodriguez P(2023)TOSCA for Microservice Deployment in Distributed Control Systems: Experiences and Lessons Learned2023 IEEE 20th International Conference on Software Architecture Companion (ICSA-C)10.1109/ICSA-C57050.2023.00020(11-21)Online publication date: Mar-2023
https://doi.org/10.1109/ICSA-C57050.2023.00020
Koziolek HGruener SAshiwal V(2023)ChatGPT for PLC/DCS Control Logic Generation2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA54631.2023.10275411(1-8)Online publication date: 12-Sep-2023
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Abukwaik HSula LRodriguez P(2022)Context-Enriching Feature Selection Method for Industrial Machine Learning2022 IEEE 20th International Conference on Industrial Informatics (INDIN)10.1109/INDIN51773.2022.9976131(115-122)Online publication date: 25-Jul-2022
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Sarkar S(2021)Identification of Modules from Graphical Control SpecificationIECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society10.1109/IECON48115.2021.9589279(1-6)Online publication date: 13-Oct-2021
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Dorofeev KBergemann STerzimehic TGrothoff JThies MZoitl A(2021)Generation of the Orchestrator Code for Skill-Based Automation Systems2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )10.1109/ETFA45728.2021.9613728(1-8)Online publication date: 7-Sep-2021
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