| Full text | |
| Author(s): |
Borges, Marcos
;
Manzano, Wallace
;
Rocha, Lincoln
;
Maia, Paulo
;
Nakagawa, Elisa
Total Authors: 5
|
| Document type: | Journal article |
| Source: | PROCEEDINGS OF THE 2024 IEEE/ACM 12TH INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING FOR SYSTEMS-OF-SYSTEMS AND SOFTWARE ECOSYSTEMS, SESOS 2024; v. N/A, p. 8-pg., 2024-01-01. |
| Abstract | |
The increasing reliance on Systems-of-Systems (SoS) across critical domains, such as emergency response, healthcare, and smart cities, underscores the need for reliable architectures capable of seamlessly accommodating new SoS missions that emerge at runtime. Designing reliable SoS architectures faces challenges in predicting emergent behaviors due to incomplete understanding of Constituent Systems (CS) behaviors at design time, dynamic changes in requirements, and environmental influences. At the same time, it lacks solutions for automatically generating SoS architectural reconfigurations at runtime. The main contribution of this paper is to present an approach named AUTONOMOUS that can automatically generate SoS architectural configurations. AUTONOMOUS refers to a process for functional suitability that extracts information from SoS mission models, engineers a model generator, and finally generates the architectural configurations. We evaluated the effectiveness of our approach through a case study in the space domain. Results demonstrate success in generating SoS architectural configurations, indicating that AUTONOMOUS could be further explored as a mechanism to reconfigure SoS architectures automatically at runtime. (AU) | |
| FAPESP's process: | 23/00488-5 - SPIRA-BM: biomarkers for respiratory conditions on mobile devices using audio analysis with artificial intelligence |
| Grantee: | Marcelo Finger |
| Support Opportunities: | Research Projects - Thematic Grants |