Output details
11 - Computer Science and Informatics
Aston University
An aspect-oriented and model-driven approach for managing dynamic variability
<07> This was one of the first papers to provide concrete evidence of how run-time models can support decision making and reasoning for self-adaptation of software during execution. Impact is evidenced by its subsequent influence on work by the same authors and other key researchers in the area like Hang and Chauvel (China), Clarke and Song (Ireland) and Benoit (Inria, France). The core ideas and associated code have underpinned at least two successful subsequent EU projects in the same research areas: EU DIVERSIFY project (http://diversify-project.eu/ €2.5M) and more recently EU HEAD project (€3.4M). Conference acceptance rate was 21%.