Automation in Mobile Testing: Techniques and Strategies for Faster, More Accurate Testing in Healthcare Applications

Abstract

Amidst the fast changing healthcare industry, mobile apps are crucial in enhancing patient care, optimising operations, and enabling communication between patients and healthcare professionals. Nevertheless, it is essential to guarantee the quality and dependability of these apps by thorough testing in order to protect patient data and uphold the integrity of healthcare services. The conventional manual testing approaches often prove inadequate in fulfilling the requirements of contemporary mobile apps because of their time-consuming character and vulnerability to human fallibility. Therefore, the use of automation in mobile testing has become a crucial approach to improve the effectiveness and precision of the testing procedure. This work investigates the methodologies and approaches for integrating automation in mobile testing specifically in the healthcare application domain. Firstly, it addresses the distinct obstacles encountered while testing healthcare mobile applications, such as strict legal obligations, the need for thorough data protection, and the intricacy of healthcare processes. This study emphasises how automation tackles these issues by providing quicker execution, consistent outcomes, and the capacity to include comprehensive test scenarios that human testing may overlook.