Applying preference-based customization

Preference-based analysis of goal variability has been found to be useful for understanding alternative ways by which actors can go about fulfilling their goals. More recently, a technique for using such preference analysis to customize software behavior has been proposed. This technique allows sets of goal alternatives that best satisfy a given preference to be provided as configuration parameters to an appropriately instrumented software system, so that the latter adapts its behavior to satisfy those alternatives. In this presentation, we show how this idea has been implemented in a prototypical tool and applied for customizing a simple ATM simulator.