48.
Dynamically adaptive systems (DAS) must cope with system and environmental conditions that may not have been fully understood or anticipated during development.
RELAX is a fuzzy logic-based specification language for identifying and assessing sources of environmental uncertainty, thereby making DAS requirements more tolerant of unanticipated conditions. This paper presents
AutoRELAX, an approach that automatically generates
RELAXed goal models to address environmental uncertainty. Specifically,
AutoRELAX identifies goals to
RELAX, which
RELAX operators to apply, and the shape of the fuzzy logic function that establishes the goal satisfaction criteria.
AutoRELAX generates different solutions by making tradeoffs between minimizing the number of
RELAXed goals and maximizing delivered functionality by reducing the number of adaptations triggered by minor and adverse environmental conditions. In a recent extension,
AutoRELAX uses a stepwise adaptation of weights to balance these two competing concerns and thereby further improve the utility of
AutoRELAX. We apply it to two industry-based applications involving network management and a robotic controller, respectively.
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