Regression Testing for Continuous Deployment: Strategies to Keep Up with Rapid Changes

Abstract

In today's fast-paced software development environment, where Continuous Deployment (CD) is becoming the norm, regression testing plays a crucial role in ensuring that new changes do not break existing functionality. Regression testing involves re-running existing test cases to verify that recent code changes have not adversely affected previously tested features. As organizations adopt Agile and DevOps practices to accelerate their release cycles, regression testing needs to be efficient, comprehensive, and adaptable to keep up with rapid changes. This article explores effective strategies for implementing regression testing in a Continuous Deployment environment, focusing on automation, test case prioritization, and integration with CI/CD pipelines. The article discusses various approaches to regression testing, such as automated regression testing, risk-based testing, and selective testing, highlighting their benefits and challenges in the context of continuous deployment. It also examines the role of modern tools and frameworks that facilitate efficient regression testing in dynamic environments. Five detailed tables are provided to outline key regression testing strategies, tools, best practices, common challenges, and their impact on software quality and deployment speed. By understanding these strategies, organizations can optimize their regression testing processes, reduce risks, and maintain high-quality standards while delivering software at speed.