An Agile and Adaptable DevOps Framework With Tunable Metrics for Enhanced Process Efficiency
Abstract
Software Development (Dev) and Information Technology operations (Ops) in Saudi Arabia rely on collaborative microservices and organization readiness toward application (app) design and deployment. These factors are coupled with agile process development and efficiency improvements with digital support from the IT industry. Considering these requirements, the need for reducing adversarial factors is mandatory for which the agile and adaptable framework is proposed. This framework relies on process flow and service demands to place the applications intermediate to the users/ clients and industries. Through this framework, the actual process demand, process design, and development environment are selected and defined as tuneable metrics. These tuneable metrics are defined to target process completion and adaptability from demand and enterprise perspectives turning out to be efficient. Besides, a validating factor for the above is analyzed using a lateral explainable AI model. This model persuades independent design, deployment, and adaptability validation to meet the DevOps design purpose. For the modified module type, this framework turned out to be 12.73% adaptable with 12.07% less wait interval to achieve 12.59% high process completion.
Fields of Study & Subjects
Software System Performance and Reliability
Software Engineering Techniques and Practices
Business Process Modeling and Analysis
Publication details
- Journal / source
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 14
- Pages
- 7565–7581
- Publication date
- 1 January 2026