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Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks

Bencomo, Nelly; Belaggoun, Amel; Dörr, Jörg; Opdahl, Andreas L.

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Authors

Amel Belaggoun

Jörg Dörr

Andreas L. Opdahl



Abstract

[Context/Motivation] Different modeling techniques have been used to model requirements and decision-making of self-adaptive systems (SASs). Specifically, goal models have been prolific in supporting decision-making depending on partial and total fulfilment of functional (goals) and non-functional requirements (softgoals). Different goalrealization strategies can have different effects on softgoals which are specified with weighted contribution-links. The final decision about what strategy to use is based, among other reasons, on a utility function that takes into account the weighted sum of the different effects on softgoals. [Questions/Problems] One of the main challenges about decisionmaking in self-adaptive systems is to deal with uncertainty during runtime. New techniques are needed to systematically revise the current model when empirical evidence becomes available from the deployment. [Principal ideas/results] In this paper we enrich the decision-making supported by goal models by using Dynamic Decision Networks (DDNs). Goal realization strategies and their impact on softgoals have a correspondence with decision alternatives and conditional probabilities and expected utilities in the DDNs respectively. Our novel approach allows the specification of preferences over the softgoals and supports reasoning about partial satisfaction of softgoals using probabilities. We report results of the application of the approach on two different cases. Our early results suggest the decision-making process of SASs can be improved by using DDNs.

Citation

Bencomo, N., Belaggoun, A., Dörr, J., & Opdahl, A. L. (2013). Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks. . https://doi.org/10.1007/978-3-642-37422-7_16

Conference Name Requirements Engineering: Foundation for Software Quality - 19th International Working Conference, REFSQ 2013, Essen, Germany, April 8-11, 2013. Proceedings
Conference Location Essen, Germany
Start Date Apr 8, 2013
End Date Apr 11, 2013
Publication Date 2013
Deposit Date Sep 29, 2022
Publicly Available Date Oct 13, 2022
Publisher Springer Verlag
Volume 7830
Pages 221-236
Series Title Lecture Notes in Computer Science
DOI https://doi.org/10.1007/978-3-642-37422-7_16

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