JOURNAL ARTICLE

FESAS: Towards a Framework for Engineering Self-Adaptive Systems

Abstract

The complexity and size of information systems are growing, resulting in an increasing effort for maintenance. Self-adaptive systems (SAS) that autonomously adapt to changes in the environment or in the system itself (e.g. disfunction of components) can be a solution. So far, the development of SAS is frequently tailored to specific use case requirements. The creation of frameworks with reusable process elements and system components is often neglected. However, with such a framework developing SAS would become faster and less error prone. This work addresses this gap by providing a framework for engineering SAS.

Keywords:
Computer science Distributed computing Software engineering

Metrics

10
Cited By
1.41
FWCI (Field Weighted Citation Impact)
9
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Software Engineering Methodologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Model-Driven Software Engineering Techniques
Physical Sciences →  Computer Science →  Software

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