Scholarlink

The core idea of DevOps is to integrate development and operations teams to improve software delivery, yet existing Critical Success Factor (CSF) frameworks remain largely untested in emerging economies where resource constraints exist and organizational cultures differ substantially. This study seeks to quantitatively validate and refine existing CSF models within the developing countries’ software industries. A cross-sectional survey of 23 DevOps professionals from leading software firms mapped 19 prior CSFs against perceived project success. Multiple linear regression analysis evaluated model explanatory strength, checked multicollinearity via Variance Inflation Factors (VIFs), and applied two-tailed t-tests to identify predictive factors. The regression model explained 95.6% of the variance in DevOps project success, identifying five key CSFs: regular DevOps events, collaborative team culture, complex performance engineering integration, build automation, and CI/CD pipeline challenge mitigation. Regular DevOps events, collaborative culture, and streamlined automation emerged as primary success drivers. Results confirm core CSF frameworks while providing empirically grounded recommendations for resource-constrained contexts. Future research should employ larger multi-regional samples and qualitative methods.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An Empirical Validation of DevOps Critical Success Factors in Developing Countries

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Rivu Bhattacharjee,
  • Ramisa Nawar,
  • Farzana Sadia,
  • Mahady Hasan,
  • Rifat Ara Rouf,
  • M. Rokonuzzaman

摘要

The core idea of DevOps is to integrate development and operations teams to improve software delivery, yet existing Critical Success Factor (CSF) frameworks remain largely untested in emerging economies where resource constraints exist and organizational cultures differ substantially. This study seeks to quantitatively validate and refine existing CSF models within the developing countries’ software industries. A cross-sectional survey of 23 DevOps professionals from leading software firms mapped 19 prior CSFs against perceived project success. Multiple linear regression analysis evaluated model explanatory strength, checked multicollinearity via Variance Inflation Factors (VIFs), and applied two-tailed t-tests to identify predictive factors. The regression model explained 95.6% of the variance in DevOps project success, identifying five key CSFs: regular DevOps events, collaborative team culture, complex performance engineering integration, build automation, and CI/CD pipeline challenge mitigation. Regular DevOps events, collaborative culture, and streamlined automation emerged as primary success drivers. Results confirm core CSF frameworks while providing empirically grounded recommendations for resource-constrained contexts. Future research should employ larger multi-regional samples and qualitative methods.