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Cautious Adaptation of Defiant Components

Maia, Paulo; Vieira, Lucas; Chagas, Matheus; Yu, Yijun; Zisman, Andrea and Nuseibeh, Bashar Cautious Adaptation of Defiant Components. In: The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019) (Lawall, Julia and Marinov, Darko eds.), 11-15 Nov 2019, San Diego, California, USA.

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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.

Item Type: Conference or Workshop Item
Copyright Holders: 2019 ACM, 2019 IEEE
Project Funding Details:
Funded Project NameProject IDFunding Body
SAUSE: Secure, Adaptive, Usable Software EngineeringEP/R013144/1 (previous: EP/R005095/1)EPSRC Engineering and Physical Sciences Research Council
Drone IdentityNo 783287EU H2020 SESAR EngageKTN
Adaptive Security And Privacy (XC-11-004-BN)291652EC (European Commission): FP (inc.Horizon2020 & ERC schemes)
International Travel GrantUKA-0160-00005.01.00/1British Council and CNPq/Brazil
Cautious Adaptation438783/2018-2CNPq/Brazil
Science Foundation Ireland13/RC/2094SFI
Keywords: Defiant Component; Adaptation; Scenarios; Aspects
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 66811
Depositing User: Yijun Yu
Date Deposited: 20 Sep 2019 09:42
Last Modified: 25 Nov 2019 13:35
URI: http://oro.open.ac.uk/id/eprint/66811
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