Maturity Levels for Automation Software Engineering in automated Production Systems

Birgit Vogel-Heuser; Eva Maria Neumann; Juliane Fischer

doi:10.1109/INDIN51773.2022.9976112

Maturity Levels for Automation Software Engineering in automated Production Systems

Birgit Vogel-Heuser
, Eva Maria Neumann
, Juliane Fischer

Chair of Automation and Information Systems

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The amount of software and its development effort in machine and plant manufacturing is continuously increasing to currently up to 35-50% of the development personnel. However, achieving mature automation software that is adaptable to changed requirements during runtime for lifetimes of several decades still poses major challenges for machine and plant manufacturing companies. Previous industrial case studies show that companies deal with these challenges with different success. However, maturity levels are still missing to categorize and compare companies' automation software and development processes and, thus, enable a cross-company benchmark. Available approaches from computer science to categorize software maturity often do not consider the characteristics of automation software or only focus on individual aspects of maturity. Thus, this paper introduces the results of a large-scale questionnaire study with 61 German machine and plant manufacturing companies to enlarge an established maturity classification with quantitative and qualitative results on success factors in the design of automation software.

Original language	English
Title of host publication	2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	618-623
Number of pages	6
ISBN (Electronic)	9781728175683
DOIs	https://doi.org/10.1109/INDIN51773.2022.9976112
State	Published - 2022
Event	20th IEEE International Conference on Industrial Informatics, INDIN 2022 - Perth, Australia Duration: 25 Jul 2022 → 28 Jul 2022

Publication series

Name	IEEE International Conference on Industrial Informatics (INDIN)
Volume	2022-July
ISSN (Print)	1935-4576

Conference

Conference	20th IEEE International Conference on Industrial Informatics, INDIN 2022
Country/Territory	Australia
City	Perth
Period	25/07/22 → 28/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

automated Production Systems
machine and plant manufacturing
software maturity

Access to Document

10.1109/INDIN51773.2022.9976112

Cite this

Vogel-Heuser, B., Neumann, E. M., & Fischer, J. (2022). Maturity Levels for Automation Software Engineering in automated Production Systems. In 2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022 (pp. 618-623). (IEEE International Conference on Industrial Informatics (INDIN); Vol. 2022-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDIN51773.2022.9976112

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title = "Maturity Levels for Automation Software Engineering in automated Production Systems",

abstract = "The amount of software and its development effort in machine and plant manufacturing is continuously increasing to currently up to 35-50\% of the development personnel. However, achieving mature automation software that is adaptable to changed requirements during runtime for lifetimes of several decades still poses major challenges for machine and plant manufacturing companies. Previous industrial case studies show that companies deal with these challenges with different success. However, maturity levels are still missing to categorize and compare companies' automation software and development processes and, thus, enable a cross-company benchmark. Available approaches from computer science to categorize software maturity often do not consider the characteristics of automation software or only focus on individual aspects of maturity. Thus, this paper introduces the results of a large-scale questionnaire study with 61 German machine and plant manufacturing companies to enlarge an established maturity classification with quantitative and qualitative results on success factors in the design of automation software.",

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Vogel-Heuser, B, Neumann, EM & Fischer, J 2022, Maturity Levels for Automation Software Engineering in automated Production Systems. in 2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022. IEEE International Conference on Industrial Informatics (INDIN), vol. 2022-July, Institute of Electrical and Electronics Engineers Inc., pp. 618-623, 20th IEEE International Conference on Industrial Informatics, INDIN 2022, Perth, Australia, 25/07/22. https://doi.org/10.1109/INDIN51773.2022.9976112

Maturity Levels for Automation Software Engineering in automated Production Systems. / Vogel-Heuser, Birgit; Neumann, Eva Maria; Fischer, Juliane.
2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 618-623 (IEEE International Conference on Industrial Informatics (INDIN); Vol. 2022-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Neumann, Eva Maria

AU - Fischer, Juliane

PY - 2022

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N2 - The amount of software and its development effort in machine and plant manufacturing is continuously increasing to currently up to 35-50% of the development personnel. However, achieving mature automation software that is adaptable to changed requirements during runtime for lifetimes of several decades still poses major challenges for machine and plant manufacturing companies. Previous industrial case studies show that companies deal with these challenges with different success. However, maturity levels are still missing to categorize and compare companies' automation software and development processes and, thus, enable a cross-company benchmark. Available approaches from computer science to categorize software maturity often do not consider the characteristics of automation software or only focus on individual aspects of maturity. Thus, this paper introduces the results of a large-scale questionnaire study with 61 German machine and plant manufacturing companies to enlarge an established maturity classification with quantitative and qualitative results on success factors in the design of automation software.

AB - The amount of software and its development effort in machine and plant manufacturing is continuously increasing to currently up to 35-50% of the development personnel. However, achieving mature automation software that is adaptable to changed requirements during runtime for lifetimes of several decades still poses major challenges for machine and plant manufacturing companies. Previous industrial case studies show that companies deal with these challenges with different success. However, maturity levels are still missing to categorize and compare companies' automation software and development processes and, thus, enable a cross-company benchmark. Available approaches from computer science to categorize software maturity often do not consider the characteristics of automation software or only focus on individual aspects of maturity. Thus, this paper introduces the results of a large-scale questionnaire study with 61 German machine and plant manufacturing companies to enlarge an established maturity classification with quantitative and qualitative results on success factors in the design of automation software.

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KW - machine and plant manufacturing

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Vogel-Heuser B, Neumann EM, Fischer J. Maturity Levels for Automation Software Engineering in automated Production Systems. In 2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 618-623. (IEEE International Conference on Industrial Informatics (INDIN)). doi: 10.1109/INDIN51773.2022.9976112

Maturity Levels for Automation Software Engineering in automated Production Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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