Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery

Dunja Zivotin; Lisa Sonnleithner; Alois Zoitl

doi:10.1109/ETFA54631.2023.10275499

Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery

Dunja Zivotin, Lisa Sonnleithner, Alois Zoitl

LIT Cyber-Physical Systems Lab

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

Abstract

Bad smells are code patterns which have a negative influence on software, often impacting its quality and maintainability. Because of these negative effects, it is important to detect and avoid them. In the domain of software engineering, the topic of bad smells has been widely researched. On the other hand, in the area of industrial automation and PLC programming languages, bad smells have not received the same amount of attention. Shotgun Surgery is a code smell which we can find when a functionality is used in a certain number of places in code. It starts smelling when every change to the functionality requires many smaller changes to the places where it’s used. If we take a closer look at Shotgun Surgery in the domain of IEC 61499, we see that the general trend persists and that there is no adequate research done on it. In this paper, we want to identify Shotgun Surgery scenarios and showcase multiple existing and new approaches for its detection in IEC 61499.

Original language	English
Title of host publication	Proceedings of the 28th IEEE IES International Conference on Emerging Technologies and Factory Automation (ETFA 2023)
Place of Publication	New York, NY, United States
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Electronic)	9798350339918
ISBN (Print)	979-8-3503-3991-8
DOIs	https://doi.org/10.1109/ETFA54631.2023.10275499
Publication status	Published - Oct 2023

Publication series

Name	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume	2023-September
ISSN (Print)	1946-0740
ISSN (Electronic)	1946-0759

Fields of science

202017 Embedded systems
102022 Software development
102025 Distributed systems
102029 Practical computer science
202003 Automation
202041 Computer engineering

JKU Focus areas

Digital Transformation

Access to Document

10.1109/ETFA54631.2023.10275499

Cite this

Zivotin, D., Sonnleithner, L., & Zoitl, A. (2023). Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery. In Proceedings of the 28th IEEE IES International Conference on Emerging Technologies and Factory Automation (ETFA 2023) (pp. 1-4). (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2023-September). IEEE. https://doi.org/10.1109/ETFA54631.2023.10275499

Zivotin, Dunja ; Sonnleithner, Lisa ; Zoitl, Alois. / Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery. Proceedings of the 28th IEEE IES International Conference on Emerging Technologies and Factory Automation (ETFA 2023). New York, NY, United States : IEEE, 2023. pp. 1-4 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).

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title = "Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery",

abstract = "Bad smells are code patterns which have a negative influence on software, often impacting its quality and maintainability. Because of these negative effects, it is important to detect and avoid them. In the domain of software engineering, the topic of bad smells has been widely researched. On the other hand, in the area of industrial automation and PLC programming languages, bad smells have not received the same amount of attention. Shotgun Surgery is a code smell which we can find when a functionality is used in a certain number of places in code. It starts smelling when every change to the functionality requires many smaller changes to the places where it{\textquoteright}s used. If we take a closer look at Shotgun Surgery in the domain of IEC 61499, we see that the general trend persists and that there is no adequate research done on it. In this paper, we want to identify Shotgun Surgery scenarios and showcase multiple existing and new approaches for its detection in IEC 61499.",

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author = "Dunja Zivotin and Lisa Sonnleithner and Alois Zoitl",

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language = "English",

isbn = "979-8-3503-3991-8",

series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",

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Zivotin, D , Sonnleithner, L & Zoitl, A 2023, Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery. in Proceedings of the 28th IEEE IES International Conference on Emerging Technologies and Factory Automation (ETFA 2023). IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, vol. 2023-September, IEEE, New York, NY, United States, pp. 1-4. https://doi.org/10.1109/ETFA54631.2023.10275499

Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery. / Zivotin, Dunja ; Sonnleithner, Lisa ; Zoitl, Alois.
Proceedings of the 28th IEEE IES International Conference on Emerging Technologies and Factory Automation (ETFA 2023). New York, NY, United States: IEEE, 2023. p. 1-4 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2023-September).

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

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AU - Zoitl, Alois

PY - 2023/10

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N2 - Bad smells are code patterns which have a negative influence on software, often impacting its quality and maintainability. Because of these negative effects, it is important to detect and avoid them. In the domain of software engineering, the topic of bad smells has been widely researched. On the other hand, in the area of industrial automation and PLC programming languages, bad smells have not received the same amount of attention. Shotgun Surgery is a code smell which we can find when a functionality is used in a certain number of places in code. It starts smelling when every change to the functionality requires many smaller changes to the places where it’s used. If we take a closer look at Shotgun Surgery in the domain of IEC 61499, we see that the general trend persists and that there is no adequate research done on it. In this paper, we want to identify Shotgun Surgery scenarios and showcase multiple existing and new approaches for its detection in IEC 61499.

AB - Bad smells are code patterns which have a negative influence on software, often impacting its quality and maintainability. Because of these negative effects, it is important to detect and avoid them. In the domain of software engineering, the topic of bad smells has been widely researched. On the other hand, in the area of industrial automation and PLC programming languages, bad smells have not received the same amount of attention. Shotgun Surgery is a code smell which we can find when a functionality is used in a certain number of places in code. It starts smelling when every change to the functionality requires many smaller changes to the places where it’s used. If we take a closer look at Shotgun Surgery in the domain of IEC 61499, we see that the general trend persists and that there is no adequate research done on it. In this paper, we want to identify Shotgun Surgery scenarios and showcase multiple existing and new approaches for its detection in IEC 61499.

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Zivotin D , Sonnleithner L , Zoitl A. Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery. In Proceedings of the 28th IEEE IES International Conference on Emerging Technologies and Factory Automation (ETFA 2023). New York, NY, United States: IEEE. 2023. p. 1-4. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA). doi: 10.1109/ETFA54631.2023.10275499

Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

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Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)

Cite this

Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)

Cite this