An Optimized Component Selection Algorithm for Self-Adaptive Software Architecture Using the Component Repository: Self-Adaptive Software Architecture

An Optimized Component Selection Algorithm for Self-Adaptive Software Architecture Using the Component Repository: Self-Adaptive Software Architecture

MohanRoopa Y, Ramamohan Reddy A
Copyright: © 2019 |Volume: 11 |Issue: 2 |Pages: 11
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781522565574|DOI: 10.4018/IJSSCI.2019040104
Cite Article Cite Article

MLA

MohanRoopa Y, and Ramamohan Reddy A. "An Optimized Component Selection Algorithm for Self-Adaptive Software Architecture Using the Component Repository: Self-Adaptive Software Architecture." IJSSCI vol.11, no.2 2019: pp.51-61. http://doi.org/10.4018/IJSSCI.2019040104

APA

MohanRoopa Y & Ramamohan Reddy A. (2019). An Optimized Component Selection Algorithm for Self-Adaptive Software Architecture Using the Component Repository: Self-Adaptive Software Architecture. International Journal of Software Science and Computational Intelligence (IJSSCI), 11(2), 51-61. http://doi.org/10.4018/IJSSCI.2019040104

Chicago

MohanRoopa Y, and Ramamohan Reddy A. "An Optimized Component Selection Algorithm for Self-Adaptive Software Architecture Using the Component Repository: Self-Adaptive Software Architecture," International Journal of Software Science and Computational Intelligence (IJSSCI) 11, no.2: 51-61. http://doi.org/10.4018/IJSSCI.2019040104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Component-based software engineering focuses on the development and reuse of components. The component reuse depends on the storage and retrieval processes. This article presents the component repository model for the developers to achieve good productivity. The component selection from the component repository according to the functionality and requirements is a crucial process. This article proposed an algorithm for optimizing component selection with functionality constraints like customer size, reliability, and performance. The experimental result evaluates the performance of the algorithm.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.