Article ID Journal Published Year Pages File Type
6875180 Science of Computer Programming 2018 46 Pages PDF
Abstract
With common modeling methodologies, it is not possible to capture the correlation of configuration options, contextual influences, user customizations, and evolution. In this paper, we remedy this problem by first defining a novel framework that allows modeling customizable evolving context-aware SPLs. We then provide a reconfiguration engine that computes how the current configuration needs to be reconfigured when the context is altered, the user preferences changed or the SPL artifacts are evolved and the configuration is adapted to reflect the evolved artifacts.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Authors
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