Abstract
The increasing acceptance of Agile approaches in software engineering has highlighted the significance of automated quality measures to guarantee continuous delivery while maintaining reliability. The Agile development cycle enhances speed, but it increases the chances of technical debt and software failures. This article reviews the recent advancements and tools supporting automated quality metrics in Agile pipelines and potential solutions to shared roadblocks, including shifting requirements, shrinking test windows, and scalability. We focus on the elements of dynamic analysis, unit testing, and performance tooling that influence code maintainability, early identification of defects, and efficient processes. The study analyzes empirical cases to demonstrate how automated metrics relieve risks, optimize workflows, and enhance software resilience. Because quality checks are integrated at every point in the development lifecycle process, automated quality metrics provide Agile teams the ability to address speed and endurance, and progressive modernization to maintain success in any long-term projects.
Keywords
Agile development, software quality metrics, automation, continuous integration, quality assurance
