Towards automatic generation of functionality semantics to improve PLC software modularization

Author:

Wilch Jan1,Fischer Juliane1,Langer Nikolai2,Felger Markus3,Bengel Matthias3,Vogel-Heuser Birgit4

Affiliation:

1. Institute of Automation and Information Systems, Department of Mechanical Engineering, TUM School of Engineering and Design , Technical University of Munich , Munich , Germany

2. Brückner Maschinenbau GmbH & Co. KG , Königsberger Str. 5-7 , Siegsdorf , Germany

3. Teamtechnik Maschinen und Anlagen GmbH , Planckstraße 40 , Freiberg , Germany

4. Institute of Automation and Information Systems, Department of Mechanical Engineering, TUM School of Engineering and Design , Core Member of MDSI and Member of MIRMI , Technical University of Munich , Munich , Germany

Abstract

Abstract Functions of automated Production Systems (aPS) can be realized by control software (SW), whose high quality and short development time are, therefore, vital. To achieve both, SW should be modular and, thereby, reusable. Static code analysis can help improve the modularization of existing software, e. g., by automatically analyzing control and information flow. However, manual code reviews are still typically required because planning a SW’s modularization requires a semantic understanding of its functionality. This paper presents an approach to, instead, identify SW functionality automatically and evaluates it with SW from three aPS manufacturers.

Funder

Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

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1. Using Tool Support to Visualize and Interact with IEC 61499 Control Software;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12

2. Semi-automatic assessment of lack of control code documentation in automated production systems;at - Automatisierungstechnik;2023-08-01

3. Research on PLC Technology of Electrical Engineering Automation Control Based on Artificial Intelligence;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28

4. Metric-based Identification of Target Conflicts in the Development of Industrial Automation Software Libraries;2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2022-12-07

5. A Communication Architecture to Observe and Partially Preserve Efficiency in Automated Production Systems;2022 IEEE 18th International Conference on Automation Science and Engineering (CASE);2022-08-20

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