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Integration of Software Engineering Principles in Machine Learning Pipeline Development

by Sambedana Lenka, Suryasmita Sahoo, Rajesh Sahoo
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 78
Year of Publication: 2025
Authors: Sambedana Lenka, Suryasmita Sahoo, Rajesh Sahoo
10.5120/ijca2025924249

Sambedana Lenka, Suryasmita Sahoo, Rajesh Sahoo . Integration of Software Engineering Principles in Machine Learning Pipeline Development. International Journal of Computer Applications. 186, 78 ( Apr 2025), 16-20. DOI=10.5120/ijca2025924249

@article{ 10.5120/ijca2025924249,
author = { Sambedana Lenka, Suryasmita Sahoo, Rajesh Sahoo },
title = { Integration of Software Engineering Principles in Machine Learning Pipeline Development },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2025 },
volume = { 186 },
number = { 78 },
month = { Apr },
year = { 2025 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number78/integration-of-software-engineering-principles-in-machine-learning-pipeline-development/ },
doi = { 10.5120/ijca2025924249 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-04-26T02:19:17.142464+05:30
%A Sambedana Lenka
%A Suryasmita Sahoo
%A Rajesh Sahoo
%T Integration of Software Engineering Principles in Machine Learning Pipeline Development
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 78
%P 16-20
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Although machine learning (ML) has transformed many sectors, issues with scalability, robustness, and maintainability are frequently encountered during deployment and upkeep. To ensure that AI systems are durable, scalable, and maintainable, software engineering concepts must be incorporated into the creation of machine learning pipelines. In the context of developing machine learning pipelines, this study examines many software engineering techniques, including version control, modular design, testing methodologies, and continuous integration/continuous deployment (CI/CD).

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Index Terms

Computer Science
Information Sciences

Keywords

Machine learning software engineering pipeline development version control modular design continuous integration continuous deployment

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