SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY

Service system is currently facing environmental complexity problems, such as the need of a distributed, heterogeneous, decentralized, and interdependent system which operatesdynamically and unpredictably. This condition requires the service system to have an ability to adapt in order to realize sus...

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Autores principales:	Aradea Aradea, Iping Supriana, Kridanto Surendro
Formato:	article
Lenguaje:	EN
Publicado:	UUM Press 2020
Materias:	self-adaptive systems service variability goal-based mape-k rule-based systems Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/56ab1d7b2d874e1eaec764cf56228207
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spelling	oai:doaj.org-article:56ab1d7b2d874e1eaec764cf562282072021-11-11T03:13:59ZSELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY10.32890/jict2020.19.2.41675-414X2180-3862https://doaj.org/article/56ab1d7b2d874e1eaec764cf562282072020-03-01T00:00:00Zhttp://e-journal.uum.edu.my/index.php/jict/article/view/jict2020.19.2.4https://doaj.org/toc/1675-414Xhttps://doaj.org/toc/2180-3862Service system is currently facing environmental complexity problems, such as the need of a distributed, heterogeneous, decentralized, and interdependent system which operatesdynamically and unpredictably. This condition requires the service system to have an ability to adapt in order to realize sustainable functions. The success of service adaptation is determined by its ability to handle variability at runtime. The purpose of this research is to realize service flexibility through variability modeling, which is an extension of previous work to enrich the adaptability view. The methodology was developed through the monitor-analyse-plan-execute-knowledge control loops approach integrated into the adaptive service (service level) element within the adaptive enterprise service system metamodel based on goal-oriented requirements engineering. Service adaptation scenario was prepared through proactive and reactive adaptation mechanisms. For evaluation, the model was applied to the case of a configuration management system. The experimental results showed that the model is able to adapt to runtime variability and accomodates the growth of the service component items shown by the description of the system scalability. The proposed model has a better alternative design in analyzing variability with a total response that can be applicable in normal operations and overload. It also meets the expected level (level-5: adapting) of the adaptive capability maturity model as a standard for assessment of a service system adaptation. Aradea AradeaIping SuprianaKridanto SurendroUUM Pressarticleself-adaptive systemsservice variabilitygoal-basedmape-krule-based systemsInformation technologyT58.5-58.64ENJournal of ICT, Vol 19, Iss 2, Pp 225-250 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	self-adaptive systems service variability goal-based mape-k rule-based systems Information technology T58.5-58.64
spellingShingle	self-adaptive systems service variability goal-based mape-k rule-based systems Information technology T58.5-58.64 Aradea Aradea Iping Supriana Kridanto Surendro SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY
description	Service system is currently facing environmental complexity problems, such as the need of a distributed, heterogeneous, decentralized, and interdependent system which operatesdynamically and unpredictably. This condition requires the service system to have an ability to adapt in order to realize sustainable functions. The success of service adaptation is determined by its ability to handle variability at runtime. The purpose of this research is to realize service flexibility through variability modeling, which is an extension of previous work to enrich the adaptability view. The methodology was developed through the monitor-analyse-plan-execute-knowledge control loops approach integrated into the adaptive service (service level) element within the adaptive enterprise service system metamodel based on goal-oriented requirements engineering. Service adaptation scenario was prepared through proactive and reactive adaptation mechanisms. For evaluation, the model was applied to the case of a configuration management system. The experimental results showed that the model is able to adapt to runtime variability and accomodates the growth of the service component items shown by the description of the system scalability. The proposed model has a better alternative design in analyzing variability with a total response that can be applicable in normal operations and overload. It also meets the expected level (level-5: adapting) of the adaptive capability maturity model as a standard for assessment of a service system adaptation.
format	article
author	Aradea Aradea Iping Supriana Kridanto Surendro
author_facet	Aradea Aradea Iping Supriana Kridanto Surendro
author_sort	Aradea Aradea
title	SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY
title_short	SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY
title_full	SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY
title_fullStr	SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY
title_full_unstemmed	SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY
title_sort	self-adaptive model based on goal-oriented requirements engineering for handling service variability
publisher	UUM Press
publishDate	2020
url	https://doaj.org/article/56ab1d7b2d874e1eaec764cf56228207
work_keys_str_mv	AT aradeaaradea selfadaptivemodelbasedongoalorientedrequirementsengineeringforhandlingservicevariability AT ipingsupriana selfadaptivemodelbasedongoalorientedrequirementsengineeringforhandlingservicevariability AT kridantosurendro selfadaptivemodelbasedongoalorientedrequirementsengineeringforhandlingservicevariability
_version_	1718439585534443520

SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY

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