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Algorithm for Building Client-Server Applications using Java, SQL, and Reactjs

by Olena Komleva
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 142
Year of Publication: 2026
Authors: Olena Komleva
10.5120/ijca587c874e79e1

Olena Komleva . Algorithm for Building Client-Server Applications using Java, SQL, and Reactjs. International Journal of Computer Applications. 187, 142 ( Sep 2026), 62-70. DOI=10.5120/ijca587c874e79e1

@article{ 10.5120/ijca587c874e79e1,
author = { Olena Komleva },
title = { Algorithm for Building Client-Server Applications using Java, SQL, and Reactjs },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2026 },
volume = { 187 },
number = { 142 },
month = { Sep },
year = { 2026 },
issn = { 0975-8887 },
pages = { 62-70 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number142/algorithm-for-building-client-server-applications-using-java-sql-and-reactjs/ },
doi = { 10.5120/ijca587c874e79e1 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-09-19T02:57:29+05:30
%A Olena Komleva
%T Algorithm for Building Client-Server Applications using Java, SQL, and Reactjs
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 142
%P 62-70
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Purpose. This article develops a structured algorithm for building client-server applications with Java, SQL and ReactJS. It responds to a recurring weakness in full-stack practice: backend logic, database access, API contracts and frontend state are designed as separate concerns, although users experience their combined quality as one system. Methodology. No primary experiment was conducted. The article applies secondary empirical synthesis to twenty verified English-language sources spanning Java client-server implementation, REST API testing, database access defects, ORM performance, DBMS testing, React refactoring and comparative performance. Every source is coded by implementation layer and mapped to a development stage, and the full mapping is reported as an evidence-coding matrix so that the derivation can be inspected and contested. Results. Reliable development depends on early data-flow clarification, database-aware API design, controlled backend implementation, explicit frontend state organization, contract testing and end-to-end performance verification. On this basis the article proposes the J-SQL-R Algorithm, six consecutive yet iterative stages. Evaluation. A Weighted Development Index is computed for four contrasting project scenarios, a one-point perturbation of the complexity coefficients tests the stability of the resulting ranking, and the sequence is compared with three alternative development orders. Falsification criteria and a reproducible validation protocol are stated. Unique contribution. A research-grounded and testable procedure for Java, SQL and ReactJS projects.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Client-server applications; Java; SQL; ReactJS; REST API; full-stack development; database access; software engineering; empirical synthesis; application architecture

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