Introduction of an Assistance System to Support Domain Experts in Programming Low-Code to Leverage Industry 5.0

The rapid technological leaps of Industry 4.0 increase the pressure and demands on humans working in automation, which is one of the main motivators of Industry 5.0. In particular, automation software development for mechatronic systems becomes increasingly challenging, as both domain knowledge and...

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Vydané v:IEEE robotics and automation letters Ročník 7; číslo 4; s. 10422 - 10429
Hlavní autori: Neumann, Eva-Maria, Vogel-Heuser, Birgit, Haben, Fabian, Kruger, Marius, Wieringa, Timotheus
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.10.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Automation
Cloning
Codes
Complexity
Complexity theory
Data mining
Industrial applications
Industries
industry 5.0
low-code platforms
Programming
programming assistance system
Retrofitting
Robotics
Software
Software development
Software engineering
Static code analysis
Subject specialists
Visual programming languages
ISSN:2377-3766, 2377-3766
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Shrnutí:The rapid technological leaps of Industry 4.0 increase the pressure and demands on humans working in automation, which is one of the main motivators of Industry 5.0. In particular, automation software development for mechatronic systems becomes increasingly challenging, as both domain knowledge and programming skills are required for high-quality, maintainable software. Especially for small companies from automation and robotics without dedicated software engineering departments, domain-specific low-code platforms become indispensable that enable domain experts to develop code intuitively using visual programming languages, e.g., for tasks such as retrofitting mobile machines. However, for extensive functionalities, visual programs may become overwhelming due to the scaling-up problem. In addition, the ever-shortening time-to-market increases the time pressure on programmers. Thus, an assistance system concept is introduced that can be implemented by low-code platform suppliers based on combining data mining and static code analysis. Domain experts are supported in developing low-code by targeted recommendations, metric-based complexity measurement, and reducing complexity by encapsulating functionalities. The concept is implemented for the industrial low-code platform HAWE eDesign to program hydraulic components in mobile machines, and its benefits are confirmed in a user study and an industrial expert workshop.
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ISSN:2377-3766
2377-3766
DOI:10.1109/LRA.2022.3193728