Self-adaptive systems: A systematic literature review across categories and domains

Context: Championed by IBM’s vision of autonomic computing paper in 2003, the autonomic computing research field has seen increased research activity over the last 20 years. Several conferences (SEAMS, SASO, ICAC) and workshops (SISSY) have been established and have contributed to the autonomic comp...

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Main Authors: WONG, Terence, WAGNER, Markus, TREUDE, Christoph
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/8767
https://ink.library.smu.edu.sg/context/sis_research/article/9770/viewcontent/terence.pdf
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spelling sg-smu-ink.sis_research-97702024-05-23T05:37:20Z Self-adaptive systems: A systematic literature review across categories and domains WONG, Terence WAGNER, Markus TREUDE, Christoph Context: Championed by IBM’s vision of autonomic computing paper in 2003, the autonomic computing research field has seen increased research activity over the last 20 years. Several conferences (SEAMS, SASO, ICAC) and workshops (SISSY) have been established and have contributed to the autonomic computing knowledge base in search of a new kind of system — a self-adaptive system (SAS). These systems are characterized by being context-aware and can act on that awareness. The actions carried out could be on the system or on the context (or environment). The underlying goal of a SAS is the sustained achievement of its goals despite changes in its environment. Objective: Despite a number of literature reviews on specific aspects of SASs ranging from their requirements to quality attributes, we lack a systematic understanding of the current state of the art. Method: This paper contributes a systematic literature review into self-adaptive systems using the dblp computer science bibliography as a database. We filtered the records systematically in successive steps to arrive at 293 relevant papers. Each paper was critically analyzed and categorized into an attribute matrix. This matrix consisted of five categories, with each category having multiple attributes. The attributes of each paper, along with the summary of its contents formed the basis of the literature review that spanned 30 years (1990–2020). Results: We characterize the maturation process of the research area from theoretical papers over practical implementations to more holistic and generic approaches, frameworks, and exemplars, applied to areas such as networking, web services, and robotics, with much of the recent work focusing on IoT and IaaS. Conclusion: While there is an ebb and flow of application domains, domains like bio-inspired approaches, security, and cyber–physical systems showed promise to grow heading into the 2020s. 2022-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8767 info:doi/10.1016/j.infsof.2022.106934 https://ink.library.smu.edu.sg/context/sis_research/article/9770/viewcontent/terence.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Self-adaptive systems Literature review Databases and Information Systems Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Self-adaptive systems
Literature review
Databases and Information Systems
Software Engineering
spellingShingle Self-adaptive systems
Literature review
Databases and Information Systems
Software Engineering
WONG, Terence
WAGNER, Markus
TREUDE, Christoph
Self-adaptive systems: A systematic literature review across categories and domains
description Context: Championed by IBM’s vision of autonomic computing paper in 2003, the autonomic computing research field has seen increased research activity over the last 20 years. Several conferences (SEAMS, SASO, ICAC) and workshops (SISSY) have been established and have contributed to the autonomic computing knowledge base in search of a new kind of system — a self-adaptive system (SAS). These systems are characterized by being context-aware and can act on that awareness. The actions carried out could be on the system or on the context (or environment). The underlying goal of a SAS is the sustained achievement of its goals despite changes in its environment. Objective: Despite a number of literature reviews on specific aspects of SASs ranging from their requirements to quality attributes, we lack a systematic understanding of the current state of the art. Method: This paper contributes a systematic literature review into self-adaptive systems using the dblp computer science bibliography as a database. We filtered the records systematically in successive steps to arrive at 293 relevant papers. Each paper was critically analyzed and categorized into an attribute matrix. This matrix consisted of five categories, with each category having multiple attributes. The attributes of each paper, along with the summary of its contents formed the basis of the literature review that spanned 30 years (1990–2020). Results: We characterize the maturation process of the research area from theoretical papers over practical implementations to more holistic and generic approaches, frameworks, and exemplars, applied to areas such as networking, web services, and robotics, with much of the recent work focusing on IoT and IaaS. Conclusion: While there is an ebb and flow of application domains, domains like bio-inspired approaches, security, and cyber–physical systems showed promise to grow heading into the 2020s.
format text
author WONG, Terence
WAGNER, Markus
TREUDE, Christoph
author_facet WONG, Terence
WAGNER, Markus
TREUDE, Christoph
author_sort WONG, Terence
title Self-adaptive systems: A systematic literature review across categories and domains
title_short Self-adaptive systems: A systematic literature review across categories and domains
title_full Self-adaptive systems: A systematic literature review across categories and domains
title_fullStr Self-adaptive systems: A systematic literature review across categories and domains
title_full_unstemmed Self-adaptive systems: A systematic literature review across categories and domains
title_sort self-adaptive systems: a systematic literature review across categories and domains
publisher Institutional Knowledge at Singapore Management University
publishDate 2022
url https://ink.library.smu.edu.sg/sis_research/8767
https://ink.library.smu.edu.sg/context/sis_research/article/9770/viewcontent/terence.pdf
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