Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-29983-5_8 | SOFTWARE ARCHITECTURE, ECSA 2019 |
Keywords | Field | DocType |
Collective Intelligence Systems, Adaptation, Architecture viewpoint | Systems engineering,Collective intelligence,Computer science,Management science | Conference |
Volume | ISSN | Citations |
11681 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelika Musil | 1 | 24 | 4.09 |
| Juergen Musil | 2 | 1 | 0.35 |
| Danny Weyns | 3 | 2854 | 163.81 |
| Stefan Biffl | 4 | 1305 | 134.26 |