Framework for DevOps success factors in software development

J. A. V. M. K. Jayakody & Janaka Wijayanayake

International Journal of Information Systems and Change Management2025https://doi.org/10.1504/ijiscm.2025.148633article
AJG 1ABDC C
Weight
0.50

What the paper says

Adopting DevOps practices allows software development and operations teams to deliver high-quality products quickly. Many researchers view DevOps as a continuation of Agile principles, still it lacks a clear definition and is rarely recognised as a distinct methodology. Therefore, implementing DevOps presents significant challenges, making it crucial to identify key factors for achieving successful adoption. These factors were examined in this research using a structured review of existing literature and confirmed through consultations with DevOps professionals. The findings proposed a framework for DevOps adoption, which was confirmed by a questionnaire survey using structural equation modelling (SEM). The resulting framework identifies critical factors for achieving successful adoption: shared culture of collaboration, DevOps strategies, competent team, performance measurements. This framework aids the software development industry in maximising DevOps benefits and minimising limitations. Additionally, it provides a basis for future studies to examine DevOps maturity as a roadmap for software development organisations, considering industry trends.

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https://doi.org/https://doi.org/10.1504/ijiscm.2025.148633

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@article{j.2025,
  title        = {{Framework for DevOps success factors in software development}},
  author       = {J. A. V. M. K. Jayakody & Janaka Wijayanayake},
  journal      = {International Journal of Information Systems and Change Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijiscm.2025.148633},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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