Date
2020
Abstract
Systems-of-systems are formed by the composition of independently created software components. These components are designed to satisfy their individual requirements, rather than the global requirements of the systems-of-systems. We refer to components that cannot be adapted to meet both individual and global requirements as “defiant” components. In this paper, we propose a “cautious” adaptation approach which supports changing the behaviour of such defiant components under exceptional conditions to satisfy global requirements, while continuing to guarantee the satisfaction of the components’ individual requirements. The approach represents both normal and exceptional conditions as scenarios; models the behaviour of exceptional conditions as wrappers implemented using an aspect-oriented technique; and deals with both single and multiple instances of defiant components with different precedence order at runtime. We evaluated an implementation of the approach using drones and boats for an organ delivery application conceived by our industrial partners, in which we assess how the proposed approach helps achieve the system-of-systems’ global requirements while accommodating increased complexity of hybrid aspects such as multiplicity, precedence ordering, openness, and heterogeneity.
Supervisor
Description
Publisher
Institute of Electrical and Electronics Engineers
Citation
2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), San Diego, CA, USA, 2019, pp. 974-985
Collections
Lero - The Science Foundation Ireland Research Centre for Software
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Nuseibeh_2019_Cautious.pdf
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Keywords
defiant component, adaptation, scenarios, aspects, Software engineering
ULRR Identifiers
https://doi.org/10.34961/researchrepository-ul.25479697
 https://researchrepository.ul.ie/handle/10344/13529
Funding code
Funding Information
This work is partially supported by CNPq/Brazil under grant Universal 438783/2018-2 and Funcap/Brazil under grant UKA-0160-00005.01.00/19; EPSRC Platform Grant on Secure Adaptable Usable Software Engineering (EP/R013144/1); EU H2020 SESAR EngageKTN on DroneIdentity (No. 783287); ERC Advanced Grant on Adaptive Security and Privacy (No. 291652), and Science Foundation Ireland (SFI) grant 13/RC/2094
Sustainable Development Goals
(9) Industry, Innovation and Infrastructure
External Link
Type
Meetings and Proceedings
Rights
https://creativecommons.org/licenses/by-nc-sa/4.0/
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