Quantitative DevSecOps Metrics for Cloud-Based Web Microservices

被引:0
|
作者
Zhang, Jin Yu [1 ]
Zhang, Yuting [1 ]
机构
[1] Boston Univ, Dept Comp Sci, Boston, MA 02215 USA
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Security; Measurement; Microservice architectures; DevOps; Software; Organizations; Codes; Cloud computing; Automation; Pipelines; Cloud; DevSecOps; metrics; microservices; web; CHALLENGES; DELIVERY;
D O I
10.1109/ACCESS.2024.3486314
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:160317 / 160342
页数:26
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