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     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

End-to-End Automation of Software Development Lifecycle (SDLC) Tools and Processes

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Abstract

The end-to-end automation approach for the Software Development Lifecycle (SDLC) now represents a fundamental solution to enhance development speed and minimize mistakes while improving productivity. Modern software development needs complete integration between stages for successful planning design development testing deployment and maintenance processes. The use of traditional manual approaches leads to delayed release schedules together with elevated mistake frequencies and elevated expenses. Software automation fights these development issues through simplified software development lifecycle stages while achieving faster and more reliable solutions with expanded capabilities.
End-to-end automation combines multiple tools including continuous integration (CI), continuous deployment (CD) systems with automated testing features and version control measures joined by monitoring tools to create a streamlined workflow. Through automation developers direct their efforts toward essential work such as coding development alongside solution innovation while pipelines handle basic tasks including testing and deploying code compilation.
DevOps results from integrating automation into the SDLC which streams development and operations teams toward better collaborative work together. Software development teams combined with IT operations through DevOps establish unified relationships to deliver software rapidly together with enhanced dependability. This document investigates end-to-end automation's vital role in the SDLC while explaining relevant tools and techniques and presenting both advantages and obstacles for its widespread implementation.

How to Cite This Article

Antony Ronald Reagan Panguraj (2021). End-to-End Automation of Software Development Lifecycle (SDLC) Tools and Processes . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 2(6), 438-441. DOI: https://doi.org/10.54660/.IJMRGE.2021.2.6.438-441

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