Refining the Scrum Paradigm: A Comprehensive Research of Software Development Practices (2020–2023)

This article presents a complex vision on software production practices aimed at enhancing the Scrum methodology within software project management. The recommended best practices are closely aligned with contemporary trends in the IT sector, including the total digitalization and virtualization of production processes, the transition to fully remote software development models, the incorporation of artificial intelligence technologies, and the implementation of cost-effective models in team organization. The modifications to software production processes discussed here are based on research conducted between 2020 and 2023, incorporating insights from prominent Russian, European, and international IT companies. This research underscores a significant transformation in IT business practices, reflecting a shift towards new benchmarks for Scrum team efficiency. These benchmarks emphasize the data-driven formalization of production models, automation facilitated by AI tools, and noticeable cost optimization within engineering teams, which collectively align with the evolving demands of the modern IT landscape. The article details a series of management strategies designed to adapt to these shifts, including the formalization of sprint goals and processes within Scrum, management of technical debt, and the cost-efficient organization of development teams.

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Publication Details

Journal
Computing&AI Connect
Published
2024-10-28
DOI
https://doi.org/10.69709/caic.2024.103102
Citations
3
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
2.34
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article

Refining the Scrum Paradigm: A Comprehensive Research of Software Development Practices (2020–2023)

D. S. Pashchenko
3 citations
Computing&AI Connect
Software Engineering Techniques and Practices
2.34
article

Refining the Scrum Paradigm: A Comprehensive Research of Software Development Practices (2020–2023)

D. S. Pashchenko
article en
3 citations

Abstract

This article presents a complex vision on software production practices aimed at enhancing the Scrum methodology within software project management. The recommended best practices are closely aligned with contemporary trends in the IT sector, including the total digitalization and virtualization of production processes, the transition to fully remote software development models, the incorporation of artificial intelligence technologies, and the implementation of cost-effective models in team organization. The modifications to software production processes discussed here are based on research conducted between 2020 and 2023, incorporating insights from prominent Russian, European, and international IT companies. This research underscores a significant transformation in IT business practices, reflecting a shift towards new benchmarks for Scrum team efficiency. These benchmarks emphasize the data-driven formalization of production models, automation facilitated by AI tools, and noticeable cost optimization within engineering teams, which collectively align with the evolving demands of the modern IT landscape. The article details a series of management strategies designed to adapt to these shifts, including the formalization of sprint goals and processes within Scrum, management of technical debt, and the cost-efficient organization of development teams.

Computing&AI ConnectVol. 1(1)
Repsol (Spain) (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Software Engineering Techniques and Practices
2.34
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