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Quantitative DevSecOps Metrics for Cloud-Based Web Microservices | IEEE Journals & Magazine | IEEE Xplore

Quantitative DevSecOps Metrics for Cloud-Based Web Microservices


This Venn diagram illustrates the convergence of Web Services and Microservices, forming Web Microservices. Web Microservices leverage communication between machines, emp...

Abstract:

The widespread adoption of Cloud-Based Web Microservices (CBWMs) and DevSecOps (Development, Security, and Operations) methodologies has significantly improved modern sof...Show More

Abstract:

The widespread adoption of Cloud-Based Web Microservices (CBWMs) and DevSecOps (Development, Security, and Operations) methodologies has significantly improved modern software development, particularly regarding scalability, agility, and security. However, the true success of these implementations hinges on the ability to measure their effectiveness accurately. Metrics serve as a critical tool in this process, providing quantifiable data on service performance, security, and operational efficiency. By leveraging these metrics, organizations can better assess the efficiency of their DevSecOps practices, making them invaluable for informed decision-making, trend analysis, process management, and continuous improvement. This paper introduces 12 key quantitative metrics specifically designed to evaluate the quality of CBWMs developed through DevSecOps practices. These metrics were identified using a Multi-Vocal Literature Review methodology, sourcing information from 92 relevant studies (2018-2023) on IEEE Xplore, Springer, and Google Scholar. The selected metrics are widely applicable across CBWMs and are easy to measure with existing tools, offering a comprehensive framework for thorough assessment.
This Venn diagram illustrates the convergence of Web Services and Microservices, forming Web Microservices. Web Microservices leverage communication between machines, emp...
Published in: IEEE Access ( Volume: 12)
Page(s): 160317 - 160342
Date of Publication: 25 October 2024
Electronic ISSN: 2169-3536

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