Toward an Adaptive Software Architecture for Archetype-Based Health-Care Applications
| Autor: | P.H.C. da Silva, A. M. C. da Araujo, M. A. P. da Silva, Valéria Cesário Times |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | IEEE Software. 39:89-96 |
| ISSN: | 1937-4194 0740-7459 |
| DOI: | 10.1109/ms.2021.3070418 |
| Popis: | Self-adaptation gives software systems the ability to adjust their behavior or structure in changing environments such as the health software domain However, adaptability significantly complicates software implementation and brings great challenges to software engineering This paper proposes an Adaptive Healthcare Software Architecture (AHSA), which is based on international health standards and offers at-runtime adaptation Three components (Dynamic Linker, Runtime Locator, and Autonomous Component) have been specified to compose AHSA A tool called AdaptiveHIS has also been developed to dynamically generate AHSA components, and this generation is exemplified through an algorithm Within two real-world COVID-19 pandemic healthcare scenarios, an assessment compared the adaptability of AHSA and other software architectures built using state-of-art tools Results based on the level of system adaptability metric respectively showed that AHSA offered 20% and 72% more adaptability in the two real-world scenarios IEEE |
| Databáze: | OpenAIRE |
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