2013
DOI: 10.1016/j.jss.2013.04.002
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MOO: An architectural framework for runtime optimization of multiple system objectives in embedded control software

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Cited by 7 publications
(4 citation statements)
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References 23 publications
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“…After 4 years of intensive cooperation with high-tech industry, for example, we have identified the following trends [ Along the line of model-based development, various algorithmic techniques and search-based methods have been introduced to compute the "optimal" architectural decomposition with respect to certain quality attributes. In addition, various run-time optimization techniques can be adopted in computing optimal control strategies and scheduling processes [57]- [59]. 8.…”
Section: The Role Of Software Engineering Methods and Techniquesmentioning
confidence: 99%
“…After 4 years of intensive cooperation with high-tech industry, for example, we have identified the following trends [ Along the line of model-based development, various algorithmic techniques and search-based methods have been introduced to compute the "optimal" architectural decomposition with respect to certain quality attributes. In addition, various run-time optimization techniques can be adopted in computing optimal control strategies and scheduling processes [57]- [59]. 8.…”
Section: The Role Of Software Engineering Methods and Techniquesmentioning
confidence: 99%
“…De Roo et al 17 present an architectural framework for realizing multi‐objective optimization for embedded control software. Additionally, they introduce a toolchain that consists of visual editors, analysis tools, code generators, and weavers.…”
Section: Related Workmentioning
confidence: 99%
“…Applying computer-aided-design techniques especially in quality trade-off considerations [11] is becoming a promising approach. Also, semantically integrating computable design rationale with self-adaptive models (i.e.…”
Section: Problem-domain (Pd) Driven Vs Solution-domain (Sd) Drivmentioning
confidence: 99%