Business & IT

Peer-reviewed scientific journal · Czech Technical University in Prague

ISSN 1805-3777 (print)
ISSN 2570-7434 (online)

Business & IT · Vol. XVI(1) · 2026

Adaptive Approaches To Web Service Composition: From Static Models To Dynamic Optimization In Practical Contexts

Maksymilian Iwanow

Journal
Business & IT, Vol. XVI(1), pp. 78–85
Year
2026
DOI
https://doi.org/10.14311/bit.2026.01.07

Abstract

This paper explores the concept of web service composition with focus on the distinction between static and dynamic approaches. It discusses how modern service-oriented architectures rely on the ability to integrate independent, modular components to achieve complex functionality and maintain adaptability within dynamic environments. The study incorporates informal participant observation (as the author’s professional experience in web service development and business collaboration provides practical insights into real-world implementation challenges) and literature review. The paper further analyses multi-objective optimization techniques, including scalarization and evolutionary algorithms, as mechanisms for improving the efficiency and adaptability of dynamic composition. Two illustrative use cases are presented. The findings emphasize that the optimal composition strategy depends on contextual business and organizational factors rather than technical considerations.

Keywords

Web Service Composition, Multi-Objective Optimization, Quality of Service, Service-Oriented Architecture

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How to cite (APA)

Maksymilian Iwanow (2026). Adaptive Approaches To Web Service Composition: From Static Models To Dynamic Optimization In Practical Contexts. Business & IT, Vol. XVI(1), pp. 78–85. https://doi.org/10.14311/bit.2026.01.07

Editorial information: Business & IT, ISSN 2570-7434, Creative Commons licence CC BY 4.0, published by CTU in Prague, 2026. https://bit.fsv.cvut.cz/