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International Journal of Computing and Artificial Intelligence

Impact Factor (RJIF): 5.57, P-ISSN: 2707-6571, E-ISSN: 2707-658X
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2025, Vol. 6, Issue 2, Part C

Economic assessment of the impact of QA automation in a GitLab-based DevOps environment on the development and maintenance lifecycle of mobile applications


Author(s): Drogunova Yulia

Abstract: This article examines the economic impact of quality assurance automation within a GitLab-based DevOps environment on the development and maintenance of mobile applications. It analyzes the structure of CI/CD pipelines, including the use of containerization, parallel testing, static code analysis, and dependency caching. Emphasis is placed on the reduction of total cost of ownership, increase in return on investment, and savings in labor expressed in full-time equivalents. Based on case studies of Airbus and Ally Financial, the implementation of automated testing processes is shown to significantly accelerate release cycles and reduce costs associated with testing and maintenance. The study concludes that integrating such solutions is strategically important for improving the predictability and efficiency of mobile development processes.

DOI: 10.33545/27076571.2025.v6.i2c.195

Pages: 164-168 | Views: 303 | Downloads: 106

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International Journal of Computing and Artificial Intelligence
How to cite this article:
Drogunova Yulia. Economic assessment of the impact of QA automation in a GitLab-based DevOps environment on the development and maintenance lifecycle of mobile applications. Int J Comput Artif Intell 2025;6(2):164-168. DOI: 10.33545/27076571.2025.v6.i2c.195
International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence
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