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Authors: Lauma Jokste and Jãnis Grabis

Affiliation: Riga Technical University, Latvia

Keyword(s): Software Entity, Context-awareness, Rule-based Adaptation, Adaptation Requirements.

Related Ontology Subjects/Areas/Topics: Accessibility and Usability ; Adaptive and Adaptable User Interfaces ; Enterprise Information Systems ; Human-Computer Interaction ; Information Systems Analysis and Specification ; Requirements Analysis And Management ; Software Metrics and Measurement

Abstract: Context-aware systems gain recognition in rapidly growing information systems market. Systems run time adaption based on contextual information have been considered as a powerful mean towards better systems performance which help to reach overall organizational goals and to improve key performance indicators. This paper describes the concept where information systems can be divided into many software entities and each of them can be context dependent. Context situation dependent software entity execution routines are observed and these observations are used to formulate Context dependency rules either manually or by machine learning. Rule based adaptation allows to monitor adaptation process in a transparent way and allows to take into account human knowledge in adaptation process. The entity based adaption allows for a uniform approach inducing context-dependency to different part of the software.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Jokste, L. and Grabis, J. (2017). Context-aware Adaption of Software Entities using Rules. In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-758-249-3; ISSN 2184-4992, SciTePress, pages 166-171. DOI: 10.5220/0006366401660171

@conference{iceis17,
author={Lauma Jokste. and Jãnis Grabis.},
title={Context-aware Adaption of Software Entities using Rules},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2017},
pages={166-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006366401660171},
isbn={978-989-758-249-3},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - Context-aware Adaption of Software Entities using Rules
SN - 978-989-758-249-3
IS - 2184-4992
AU - Jokste, L.
AU - Grabis, J.
PY - 2017
SP - 166
EP - 171
DO - 10.5220/0006366401660171
PB - SciTePress