Engineering Adaptive Embedded Software: Managing Complexity and Evolution

Hatun, Kardelen; Roo, Arjan de; Bergmans, Lodewijk; Bockisch, Christoph; Akşit, Mehmet

doi:10.1007/978-1-4614-4821-1_8

Cited by 2 publications

(3 citation statements)

References 14 publications

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“…The idea behind this approach is to employ high level models (i.e., meta-models) and transformation strategies to generate equivalent-proven low level models (i.e., code) automatically. Many model-based approaches have been proposed for adaptive systems (Yang et al, 2017;Hatun et al, 2013;Klarl, 2015). Hatun et al (2013) proposed a model-based approach for AES.…”

Section: Model-based Approachmentioning

confidence: 99%

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Adaptive embedded systems: a systematic review

Boutekkouk

2020

IJAACS

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Adaptive embedded systems (AES) are embedded systems whose behaviour and architecture are adjusted in run time to fulfil changing requirements. Despite the huge effort furnished by researchers to develop design methodologies and their associated tools for AES, we can easily observe that none of the existing approaches provides a complete development process covering all development phases and supporting traceability between their produced artefacts. Furthermore, most existing tools are not interoperable. Thus, a standard or at least a domain-specific methodology will be needed for an effective cost/delay design of AES. In this paper, we review AES modelling techniques and design methodologies. At the end of the paper, we will illustrate the main challenges confronted by AES design and some future perspectives.

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Section: Model-based Approachmentioning

confidence: 99%

“…Many model-based approaches have been proposed for adaptive systems (Yang et al, 2017;Hatun et al, 2013;Klarl, 2015). Hatun et al (2013) proposed a model-based approach for AES. As illustrated in Figure 10, the proposed approach is based on several layers; at the top the domain-specific knowledge is located.…”

Section: Model-based Approachmentioning

confidence: 99%

Adaptive embedded systems: a systematic review

Boutekkouk

2020

IJAACS

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“…Then these specific set of objects can be used for conversions, which will provide a fine-grained mechanism to only adapt and inject relevant objects. This idea is discussed in [HBA12] by us, where we used a different methodology for adaptation.…”

Section: Future Workmentioning

confidence: 99%

Non-instrusive instance level software composition

Hatun¹

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Engineering Adaptive Embedded Software: Managing Complexity and Evolution

Cited by 2 publications

References 14 publications

Adaptive embedded systems: a systematic review

Adaptive embedded systems: a systematic review

Non-instrusive instance level software composition

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