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The American Journal of Engineering And Techonology
Article . 2025 . Peer-reviewed
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Optimization of software development processes in distributed teams

Authors: Garg Nishant;

Optimization of software development processes in distributed teams

Abstract

Background: This article analyzes the optimization of software development processes in distributed teams through the use of agile methodologies and modern digital tools. The study covers the theoretical foundations of agile approaches, including iterative development, continuous feedback, and adaptive planning, while also examining practical methods and tools that enhance communication and knowledge management in distributed work environments. Methods: The methodological approach includes a comparative literature review, which has made it possible to identify both success factors and challenges in implementing agile practices in distributed teams. As a result of the study, a comprehensive optimization model has been proposed, integrating theoretical principles with practical tools such as Jira, Confluence, Slack, Microsoft Teams, and GitLab, along with recommendations for adapting organizational culture and management processes to improve development efficiency. Findings: The findings demonstrate that the combination of integrated digital solutions with agile methodologies contributes to shorter development cycles, improved product quality, and enhanced communication flows. Novelty and applications: The insights presented in this article are relevant to researchers in information technology, professionals involved in business process optimization, and managers of distributed teams seeking to implement advanced software development methodologies in the context of global digital transformation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold