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Design and Engineering of Adaptive Software Systems

Hidaka, Soichiro; Hu, Zhenjiang; Litoiu, Marin; Liu, Lin; Martin, Patrick; Peng, Xin; Wang, Guilin and Yu, Yijun (2019). Design and Engineering of Adaptive Software Systems. In: Yu, Yijun; Bandara, Arosha; Honiden, Shinichi; Hu, Zhenjiang; Tamai, Tetsuo; Muller, Hausi; Mylopoulos, John and Nuseibeh, Bashar eds. Engineering Adaptive Software Systems. Singapore: Springer, Singapore, pp. 1–33.

DOI (Digital Object Identifier) Link: https://doi.org/10.1007/978-981-13-2185-6_1
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Abstract

New challenges such as big data, ultra-large-scale services, and continuously available services are driving the evolution to adaptive software systems, which are able to modify their behavior in response to their environmental and internal changes, in order to achieve their goals. Providing support in all phases of the life cycle of adaptive software systems is thus an important challenge facing the software engineering research community. This chapter highlights current research on methods and techniques for the design and engineering of adaptive software systems. The design space for self-adaptive systems is first examined, and then a goal-oriented framework for adaptive service composition is described. The human factors component of the design of adaptive systems are considered from four different points of view. We then argue that model management from database community can be adapted for effective development of self-adaptive systems. Finally, sustainability of adaptive components are shown to be achieved by making requirements future-proof.

Item Type: Book Section
Copyright Holders: 2019 Springer Nature Singapore Pte Ltd.
ISBN: 981-1321-84-1, 978-981-1321-84-9
Project Funding Details:
Funded Project NameProject IDFunding Body
Adaptive Security And Privacy (XC-11-004-BN)291652EC (European Commission): FP (inc.Horizon2020 & ERC schemes)
SAUSE: Secure, Adaptive, Usable Software EngineeringEP/R013144/1 (previous: EP/R005095/1)EPSRC (Engineering and Physical Sciences Research Council)
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)
Item ID: 60481
Depositing User: Yijun Yu
Date Deposited: 18 Apr 2019 11:50
Last Modified: 23 Apr 2019 09:37
URI: http://oro.open.ac.uk/id/eprint/60481
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