Exploring Hybrid Testing Strategies for Optimal Software Quality Assurances
Abstract
Balancing automated and manual testing remains a central challenge in software quality assurance (QA), influencing both efficiency and reliability of the testing process. Automated testing tools provide significant advantages by accelerating testing cycles and ensuring broad test coverage, making them ideal for repetitive and regression tasks. However, manual testing plays a crucial role in exploring complex user interactions, assessing usability, and adapting to scenarios that require human intuition. This paper builds on the work of Banik and Dandyala (2019), integrating recent advancements in hybrid testing strategies to offer a comprehensive approach. The study demonstrates that combining automated methods for routine tasks with manual testing for more intricate scenarios leads to a robust and adaptive software testing framework. This hybrid approach not only optimizes QA efforts but also ensures the delivery of high-quality software that meets diverse project demands. By strategically utilizing both methods, development teams can navigate the complexities of modern software testing while maintaining the flexibility necessary for dynamic project environments.