Perpetual Assurances for Self-Adaptive Systems
Danny Weyns, Nelly Bencomo, Radu Calinescu,
Javier Cámara, Carlo Ghezzi, Vincenzo Grassi, Larse Grunske, Paola Inverardi, Jean-Marc Jezequel, Sam Malek, Raffaela Mirandola, Marco Mori and Giordano Tambrrellii.
In Rogério de Lemos,
David Garlan, Carlo Ghezzi and Holger Giese editors, Software Engineering for Self-Adaptive Systems III. Assurances, Nr. (9640), Lecture Notes in Computer Science, Springer, 2017.
Online links:   Plain Text
Abstract
| Providing assurances for self-adaptive systems is challenging. A
primary underlying problem is uncertainty that may stem from a variety of different
sources, ranging from incomplete knowledge to sensor noise and uncertain
behavior of humans in the loop. Providing assurances that the self-adaptive
system complies with its requirements calls for an enduring process spanning
the whole lifetime of the system. In this process, humans and the system jointly
derive and integrate new evidence and arguments, which we coined perpetual
assurances for self-adaptive systems. In this paper, we provide a background
framework and the foundation for perpetual assurances for self-adaptive systems.
We elaborate on the concrete challenges of offering perpetual assurances,
requirements for solutions, realization techniques and mechanisms to make solutions
suitable. We also present benchmark criteria to compare solutions. We
then present a concrete exemplar that researchers can use to assess and compare
approaches for perpetual assurances for self-adaptation |
Keywords: Assurance, Self-adaptation, Self-awareness & Adaptation.
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