AutoRELAX: automatically RELAXing a goal model to address uncertainty

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...

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Bibliographic Details
Published in:Empirical software engineering : an international journal 2014-10, Vol.19 (5), p.1466-1501
Main Authors: Fredericks, Erik M., DeVries, Byron, Cheng, Betty H. C.
Format: Article
Language:English
Subjects:
Adaptation
Adaptive systems
Compilers
Computer Science
Dynamical systems
Fuzzy
Fuzzy logic
Interpreters
Mathematical models
Networks
Programming Languages
Software Engineering/Programming and Operating Systems
Uncertainty
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Summary: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.
ISSN:1382-3256
1573-7616
DOI:10.1007/s10664-014-9305-0