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Computer
Article . 2010 . Peer-reviewed
License: IEEE Copyright
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Evolving Embedded Systems

Authors: Gabor Karsai; Fabio Massacci; Leon J. Osterweil; Ina Schieferdecker;

Evolving Embedded Systems

Abstract

Embedded systems pose special challenges to system evolution: they're embedded in a changing environment, often interacting with evolving processes of human organizations, and thus must be verified because of their critical nature. Complicating the situation, the analyses and testing regimens used to verify them must evolve as well. Both software engineering research and industrial practice need to improve to address these problems. While admittedly underemphasized in software engineering education, system evolution is crucial, and the challenges discussed here will be addressed by improving on the initial results presented.

Countries
United States, Netherlands, Italy
Keywords

Critical Systems, Computer Sciences, Systems Engineering, Software Evolution, Connected World, Embedded Systems, SDG 4 - Quality Education, Design And Test, 2010

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Top 10%
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