Evolution of software in automated production systems: Challenges and research directions
Эволюция программного обеспечения в автоматизированных производственных системах: проблемы и направления исследований
2015-08-22
SCID: 54.1/d9zqzrf9
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automated production systemspick-and-place unitsoftware evolutionsystem life-cyclevariant-rich systems
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Abstract (AI)
Coping with evolution in automated production systems implies a cross-disciplinary challenge along the system's life-cycle for variant-rich systems of high complexity. The authors from computer science and automation provide an interdisciplinary survey on challenges and state of the art in evolution of automated production systems. Selected challenges are illustrated on the case of a simple pick and place unit. In the first part of the paper, we discuss the development process of automated production systems as well as the different type of evolutions during the system's life-cycle on the case of a pick and place unit. In the second part, we survey the challenges associated with evolution in the different development phases and a couple of cross-cutting areas and review existing approaches addressing the challenges. We close with summarizing future research directions to address the challenges of evolution in automated production systems.
Key Findings
1
Evolution of automated production systems is a cross-disciplinary life-cycle challenge involving highly complex, variant-rich systems.
2
It identifies evolution-related challenges across development phases and cross-cutting areas, reviewing existing approaches that address them.
3
The paper surveys development processes and different types of system evolution using a pick-and-place unit as an illustrative case.
4
The survey synthesizes future research directions for managing evolution in automated production systems.
Research Object
automated production systems
Research Subject
software evolution across the life cycle, including development-phase challenges and approaches for managing changes in variant-rich, highly complex systems
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2015-08-22
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