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ICSE 2020
Wed 24 June - Thu 16 July 2020
Sat 11 Jul 2020 16:17 - 16:29 at Silla - A30-Dependencies and Configuration Chair(s): Diomidis Spinellis

Self-adaptive systems often employ dynamic programming or similar techniques to select optimal adaptations at run-time. These techniques suffer from the ‘‘curse of dimensionality’’, increasing the cost of run-time adaptation decisions. We propose a novel approach that improves upon the state-of-the-art proactive self-adaptation techniques to reduce the number of possible adaptations that need be considered for each run-time adaptation decision. The approach, realized in a tool called Thallium, employs a combination of automated formal modeling techniques to (i) analyze a structural model of the system showing which configurations are reachable from other configurations and (ii) compute the utility that can be generated by the optimal adaptation over a bounded horizon in both the best- and worst-case scenarios. It then constructs triangular possibility values using those optimized bounds to automatically compare adjacent adaptations for each configuration, keeping only the alternatives with the best range of potential results. The experimental results corroborate Thallium’s ability to significantly reduce the number of states that need be considered with each adaptation decision, freeing up vital resources at run-time.

Sat 11 Jul
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16:05 - 17:05: Paper Presentations - A30-Dependencies and Configuration at Silla
Chair(s): Diomidis SpinellisAthens University of Economics and Business
icse-2020-papers16:05 - 16:17
Michael LienhardtONERA, Ferruccio DamianiUniversity of Turin, Einar Broch JohnsenUniversity of Oslo, Jacopo MauroUniversity of Southern Denmark
icse-2020-papers16:17 - 16:29
Clay StevensUniversity of Nebraska-Lincoln, Hamid BagheriUniversity of Nebraska-Lincoln, USA
icse-2020-Software-Engineering-in-Practice16:29 - 16:41
Jens MeinickeCarnegie Mellon University, Chu-Pan WongCarnegie Mellon University, Bogdan VasilescuCarnegie Mellon University, Christian KästnerCarnegie Mellon University