[Zurück]

A. Musil, J. Musil, D. Weyns, S. Biffl:
"Continuous Adaptation Management in Collective Intelligence Systems";
Vortrag: 13th European Conference on Software Architecture (ECSA 2019), Paris, France; 09.09.2019 - 13.09.2019; in: "Software Architecture", Springer, (2019), ISBN: 978-3-030-29982-8; S. 109 - 125.

Collective Intelligence Systems (CIS), such as wikis and
social networks, enable enhanced knowledge creation and sharing at organization and society levels. From our experience in R&D projects with
industry partners and in-house CIS development, we learned that these
platforms go through a complex evolution process. A particularly challenging aspect in this respect represents uncertainties that can appear
at any time in the life-cycle of such systems. A prominent way to deal
with uncertainties is adaptation, i.e., the ability to adjust or reconfigure
the system in order to mitigate the impact of the uncertainties. However,
there is currently a lack of consolidated design knowledge of CIS-specific
adaptation and methods for managing it. To support software architects,
we contribute an architecture viewpoint for continuous adaptation management in CIS, aligned with ISO/IEC/IEEE 42010. We evaluated the
viewpoint in a case study with a group of eight experienced engineers.
The results show that the viewpoint is well-structured, useful and applicable, and that its model kinds cover well the scope to handle different
CIS-specific adaptation problems.

Collective Intelligence Systems · Adaptation · Architecture viewpoint

http://dx.doi.org/10.1007/978-3-030-29983-5_8