QA for AI/ML applications requires a different approach when compared to traditional applications. Unlike the latter that has set business rules with defined outputs, the
Author: Raghukiran B
Raghukiran is working as Test Architect with Trigent Software and has over 11 experience in QA and Test Automation. Experienced in building automation strategies, scalable test automation frameworks. Worked on various domains such as Healthcare, Retail, Education, Supply Chain Management, Fleet Management, Telematics etc... Extensively worked on Automation of Web, Desktop and Mobile applications on Android and iOS platforms. He is interested in exploring new automation tools, continuous integration setups and automation coverage.
The adoption of systems based on Artificial Intelligence (AI) and Machine Learning (ML) has seen an exponential rise in the past few years and is
The importance of microservices architecture testing Increased adoption of digital has pushed the need for speed to the forefront. The need to conceptualize, develop, launch
Responsibility in testing – What is responsible testing? Consumers demand quality and expect more from products. The DevOps culture emphasizes the need for speed and
Selenium WebDriver is a popular Open Source tool used for the automation of web applications. It is a simple, concise programming interface that supports dynamic
In the recent past, software companies have shown their preference to release products/ applications faster with focused emphasis on quality assurance. To ensure rapidity and