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

LIT Cyber-Physical Systems Lab

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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.

Originalsprache	Englisch
Titel	Proceedings of the 28th IEEE IES International Conference on Emerging Technologies and Factory Automation (ETFA 2023)
Erscheinungsort	New York, NY, United States
Verlag	IEEE
Seiten	1-4
Seitenumfang	4
ISBN (elektronisch)	9798350339918
ISBN (Print)	979-8-3503-3991-8
DOIs	https://doi.org/10.1109/ETFA54631.2023.10275499
Publikationsstatus	Veröffentlicht - Okt. 2023

Publikationsreihe

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

Wissenschaftszweige

202017 Embedded Systems
102022 Softwareentwicklung
102025 Verteilte Systeme
102029 Praktische Informatik
202003 Automatisierungstechnik
202041 Technische Informatik

JKU-Schwerpunkte

Digital Transformation

Zugriff auf Dokument

10.1109/ETFA54631.2023.10275499

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)
Bauer, P. (Forscher*in), Fadhlillah, H. (Forscher*in), Gutierrez, A. (Forscher*in), Kutsia, E. (Forscher*in), Sharma, S. (Forscher*in), Sonnleithner, L. (Forscher*in), Unterdechler, M. (Forscher*in), Rabiser, R. (Projektleiter*in) & Zoitl, A. (Projektleiter*in)
01.02.2021 → 31.01.2028
Projekt: Geförderte Forschung › CDG - Christian Doppler Forschungsgesellschaft

Dieses zitieren

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) (S. 1-4). (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Band 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. S. 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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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, Bd. 2023-September, IEEE, New York, NY, United States, S. 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. S. 1-4 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Band 2023-September).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Bad Smells in IEC 61499-based Control Software: Sniffing out Shotgun Surgery

AU - Zivotin, Dunja

AU - Sonnleithner, Lisa

AU - Zoitl, Alois

PY - 2023/10

Y1 - 2023/10

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. S. 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

Publikationsreihe

Wissenschaftszweige

JKU-Schwerpunkte

Zugriff auf Dokument

Andere Dateien und Links

Projekte

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

Dieses zitieren