DoktoraAçık Erişim

Kendinden uyarlamalı sistemler için özellik modeli tabanlı yapılandırma yeniden kullanım şeması

2021
0 görüntülenme
0 i̇ndirme
Danışman: Yrd. Doç. Dr. Oguz Ata ; Prof. Dr. Said Ghoul

Özet (EN)

Large systems have become progressively more complicated over the recent years, leading to increased focus on system maintenance and configurations. Self-adaptive systems (SASs) are considered to be of great importance in the handling of complex systems. SASs are capable of reconfiguring themselves during run time to satisfy the scenarios of the requisite contexts (corresponding to changes in user requirements, systems themselves, or their environments). However, reconfiguration process need to be triggered each time the system is adapted. In this context, configuration reuse is a prospective alternative to reduce time, effort, and error-prone. Most self-adaptive systems utilize feature models (FMs) to represent their complex architectures and benefit from the reuse of commonalities and variability information. However, reconfiguration of self-adaptive systems corresponding to each adaptation of the system requires significant computational time and resources. While current FM-based techniques represent and reuse elementary features to model SASs concepts, modeling and reusing configurations have not yet been considered. In this context, this study presents an extension to FMs by introducing and managing configuration features and their reuse process. Evaluation results demonstrate that reusing configuration features reduces the effort and time required by reconfiguration processes during the run time to meet the required scenario according to the context.

Yazar

Dr. Sumayah Mahdı Ibrahım Al Kubaısı

Bu Yayına Nasıl Atıf Yapılır

Sumayah Mahdı Ibrahım Al Kubaısı (Doctorate thesis). Kendinden uyarlamalı sistemler için özellik modeli tabanlı yapılandırma yeniden kullanım şeması, 2021, Altınbaş University.

Anahtar Kelimeler

Lisans

Tüm Hakları Saklıdır

Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.

Altınbaş University tezlerinden daha fazlası