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- W2116271036 abstract "Software in the near ubiquitous future will need to cope with variability, as software systems get deployed on an increasingly large diversity of computing platforms and operates in different execution environments. Heterogeneity of the underlying communication and computing infrastructure, mobility inducing changes to the execution environments and therefore changes to the availability of resources and continuously evolving requirements require software systems to be adaptable according to the context changes. Software systems should also be reliable and meet the user’s requirements and needs. Moreover, due to its pervasiveness, software systems must be dependable. Supporting the validation of these self-adaptive systems to ensure dependability requires a complete rethinking of the software life cycle. The traditional division among static analysis and dynamic analysis is blurred by the need to validate dynamic systems adaptation. Models play a key role in the validation of dependable systems, dynamic adaptation calls for the use of such models at run time. In this paper we describe the approach we have undertaken in recent projects to address the challenge of assessing dependability for adaptive software systems." @default.
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- W2116271036 date "2010-01-01" @default.
- W2116271036 modified "2023-10-07" @default.
- W2116271036 title "Run Time Models in Adaptive Service Infrastructure" @default.
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- W2116271036 doi "https://doi.org/10.1007/978-3-0346-0433-8_6" @default.
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