Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6875180 | Science of Computer Programming | 2018 | 46 Pages |
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
Jacopo Mauro, Michael Nieke, Christoph Seidl, Ingrid Chieh Yu,