TY - GEN
T1 - Technical Debt Contagiousness Metrics for Measurement and Prioritization in Mechatronics
AU - Bi, Fandi
AU - Vogel-Heuser, Birgit
AU - Du, Fengmin
AU - Hanich, Nils
AU - Cho, Ennuri
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Underlying and undiscovered technical debt (TD) that burdens the system and makes future changes more costly or impossible poses significant risks to mechatronic systems. Multi-disciplinary collaboration and cooperation lead to interdisciplinary interfaces and new life cycle phases that cause greater ripple effects to the TD distribution. When quantifying TD contagiousness in interdisciplinary engineering, only a few metrics, methods, or tools prove applicable. In this work, we propose a method containing two key metrics to quantify TD contagiousness across product life cycles and disciplines. Furthermore, we suggest a matrix multiplication method to quantify the adverse impact on each discipline and the system. By applying the methods to the data of three comparable companies in the industrial automation domain, the results enable us to measure and prioritize the TD incidents' contagiousness. This method provides a first step towards the systematic quantification of TD in the interdisciplinary environment and provides metrics to compare systems based on objective factors.
AB - Underlying and undiscovered technical debt (TD) that burdens the system and makes future changes more costly or impossible poses significant risks to mechatronic systems. Multi-disciplinary collaboration and cooperation lead to interdisciplinary interfaces and new life cycle phases that cause greater ripple effects to the TD distribution. When quantifying TD contagiousness in interdisciplinary engineering, only a few metrics, methods, or tools prove applicable. In this work, we propose a method containing two key metrics to quantify TD contagiousness across product life cycles and disciplines. Furthermore, we suggest a matrix multiplication method to quantify the adverse impact on each discipline and the system. By applying the methods to the data of three comparable companies in the industrial automation domain, the results enable us to measure and prioritize the TD incidents' contagiousness. This method provides a first step towards the systematic quantification of TD in the interdisciplinary environment and provides metrics to compare systems based on objective factors.
KW - contagiousness
KW - industrial automation
KW - interdisciplinary
KW - measurement
KW - metrics
KW - prioritization
KW - quantification
KW - technical debt
UR - http://www.scopus.com/inward/record.url?scp=85169470315&partnerID=8YFLogxK
U2 - 10.1109/TechDebt59074.2023.00012
DO - 10.1109/TechDebt59074.2023.00012
M3 - Conference contribution
AN - SCOPUS:85169470315
T3 - Proceedings - 2023 ACM/IEEE International Conference on Technical Debt, TechDebt 2023
SP - 42
EP - 51
BT - Proceedings - 2023 ACM/IEEE International Conference on Technical Debt, TechDebt 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th ACM/IEEE International Conference on Technical Debt, TechDebt 2023
Y2 - 14 May 2023 through 15 May 2023
ER -