Optimizing DevOps Pipelines with Maven: Advanced Build Automation Techniques

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nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]15/09/2025 at 11:21 AM[/if 2224] | [if 1553 equals=””] Volume : 12 [else] Volume : 12[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page : 06 11

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    Aishwarya Jagnade, Sharada Patil,

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  1. Student, Associate Professor, Department of MCA, Sinhgad Institute of Business Administration and Research, Pune, Department of MCA, Sinhgad Institute of Business Administration and Research, Pune, Maharashtra, Maharashtra, India, India

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Abstract

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nAs modern software development continues to evolve, DevOps has become a fundamental methodology for integrating development and operations teams to enhance collaboration, reduce software delivery time, and improve overall product quality. Automating builds is a crucial aspect of any DevOps pipeline, as it helps maintain consistency and dependability throughout the different phases of the development process. Maven, a robust build automation tool commonly used in Java projects, is instrumental in enhancing the efficiency and performance of DevOps workflows. This study delves into advanced techniques for optimizing DevOps pipelines using Maven, focusing on improving build efficiency, enhancing automation processes, and integrating best practices for continuous integration (CI) and continuous delivery (CD). Key concepts such as parallel builds, dependency management, plugin optimization, and multi-module projects are explored to highlight how Maven can streamline build processes. Additionally, we explore the integration of Maven with modern CI/CD tools like Jenkins, GitLab CI, and Bamboo, providing a comprehensive approach to build automation in a DevOps environment. Through a combination of practical examples, case studies, and expert insights, this study offers readers the knowledge needed to leverage Maven effectively within their DevOps pipelines, enabling faster, more efficient, and error-free build processes. By implementing these advanced techniques, organizations can enhance their software delivery cycles, improve collaboration between teams, and achieve higher levels of automation.nn

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Keywords: DevOps, maven, build automation, continuous integration, continuous delivery, CI/CD, Jenkins, dependency management

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Software Engineering Tools & Technology Trends ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Software Engineering Tools & Technology Trends (josettt)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nAishwarya Jagnade, Sharada Patil. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Optimizing DevOps Pipelines with Maven: Advanced Build Automation Techniques[/if 2584]. Journal of Software Engineering Tools & Technology Trends. 15/09/2025; 12(03):06-11.

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How to cite this URL:
nAishwarya Jagnade, Sharada Patil. [if 2584 equals=”][226 striphtml=1][else]Optimizing DevOps Pipelines with Maven: Advanced Build Automation Techniques[/if 2584]. Journal of Software Engineering Tools & Technology Trends. 15/09/2025; 12(03):06-11. Available from: https://journals.stmjournals.com/josettt/article=15/09/2025/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Volume 12
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 31/03/2025
Accepted 22/08/2025
Published 15/09/2025
Retracted
Publication Time 168 Days

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