Efficient Test Case Generation from Product and Process Model Properties and Preconditions

Meixner, Kristof; Kathrein, Lukas; Winkler, Dietmar; Lüder, Arndt; Biffl, Stefan

doi:10.1109/etfa46521.2020.9212003

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) 2020

DOI: 10.1109/etfa46521.2020.9212003

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Efficient Test Case Generation from Product and Process Model Properties and Preconditions

Kristof Meixner

Lukas Kathrein

Dietmar Winkler

et al.

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Integrating Variability Modeling of Products, Processes, and Resources in Cyber-Physical Production Systems Engineering

Meixner

2020

Proceedings of the 24th ACM International Systems and Software Product Line Conference - Volume B

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The Industry 4.0 initiative envisions the flexible and optimized production of customized products on Cyber-Physical Production Systems (CPPSs) that consist of subsystems coordinated to conduct complex production processes. Hence, accurate CPPS modeling requires integrating the modeling of variability for Product-Process-Resource (PPR) aspects. Yet, current variability modeling approaches treat structural and behavioral variability separately, leading to inaccurate CPPS production models that impede CPPS engineering and optimization. This paper proposes a PhD project for integrated variability modeling of PPR aspects to improve the accuracy of production models with variability for CPPS engineers and production optimizers. The research project follows the Design Science approach aiming for the iterative design and evaluation of (a) a framework to categorize currently incomplete and scattered models and methods for PPR variability modeling as a foundation for an integrated model; and (b) a modeling approach for more accurate integrated PPR variability modeling. The planned research will provide the Software Product Line (SPL) and CPPS engineering research communities with (a) novel models, methods, and insights on integrated PPR variability modeling, (b) open data from CPPS engineering use cases for common modeling, and (c) empirical data from field studies for shared analysis and evaluation. CCS CONCEPTS • Software and its engineering → Software product lines.

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Integrating Variability Modeling of Products, Processes, and Resources in Cyber-Physical Production Systems Engineering

Meixner

2020

Proceedings of the 24th ACM International Systems and Software Product Line Conference - Volume B

Self Cite

View full text Add to dashboard Cite

show abstract

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Efficient Test Case Generation from Product and Process Model Properties and Preconditions

Cited by 1 publication

References 17 publications

Integrating Variability Modeling of Products, Processes, and Resources in Cyber-Physical Production Systems Engineering

Integrating Variability Modeling of Products, Processes, and Resources in Cyber-Physical Production Systems Engineering

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