Quantitative DevSecOps Metrics for Cloud-Based Web Microservices

Autor: Jin Yu Zhang, Yuting Zhang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: IEEE Access, Vol 12, Pp 160317-160342 (2024)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2024.3486314
Popis: 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.
Databáze: Directory of Open Access Journals