Loughborough University
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Synergizing domain expertise with self-awareness in software systems: A patternized architecture guideline

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journal contribution
posted on 2021-02-19, 10:47 authored by Tao Chen, Rami Bahsoon, Xin Yao
© 1963-2012 IEEE. To promote engineering self-aware and self-adaptive software systems in a reusable manner, architectural patterns and the related methodology provide an unified solution to handle the recurring problems in the engineering process. However, in existing patterns and methods, domain knowledge and engineers' expertise that is built over time are not explicitly linked to the self-aware processes. This link is important, as knowledge is a valuable asset for the related problems and its absence would cause unnecessary overhead, possibly misleading results, and unwise waste of the tremendous benefits that could have been brought by the domain expertise. This article highlights the importance of synergizing domain expertise and the self-awareness to enable better self-adaptation in software systems, relying on well-defined expertise representation, algorithms, and techniques. In particular, we present a holistic framework of notions, enriched patterns and methodology, dubbed DBASES, that offers a principled guideline for the engineers to perform difficulty and benefit analysis on possible synergies, in an attempt to keep 'engineers-in-the-loop.' Through three tutorial case studies, we demonstrate how DBASES can be applied in different domains, within which a carefully selected set of candidates with different synergies can be used for quantitative investigation, providing more informed decisions of the design choices.

History

School

  • Science

Department

  • Computer Science

Published in

Proceedings of the IEEE

Volume

108

Issue

7

Pages

1094 - 1126

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • VoR (Version of Record)

Publisher statement

This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2020-03-23

Publication date

2020-05-07

Copyright date

2020

ISSN

0018-9219

eISSN

1558-2256

Language

  • en

Depositor

Dr Tao Chen Deposit date: 18 February 2021