Tutorials and resources on how to apply test automation in software testing
In this article, Priya Yesare explains why AI driven software testing is faster, more efficient and more reliable. AI addresses the limitations of traditional test automation by incorporating machine learning, large language models (LLM), natural language processing and predictive analysis to automate complex tasks with improved accuracy.
Welcome to this series of three articles dedicated to an in-depth analysis of testing systems that integrate multi-factor authentication (MFA) mechanisms. If you work in a regulated entity, particularly in the financial or banking sectors, you have likely faced the challenges associated with testing MFA-protected workflows such as authentication and financial transactions.
Effective test automation can improve the quality and reliability of your product or service. This article discusses test automation best practices, from selecting the right tools and integrating CI/CD pipelines to prioritizing tests and maintaining script relevancy through regular reviews and refactoring.
End-to-end (E2E) testing is one of the more common approaches to testing software, but it is complex, fragile expensive and low quality. As soon as we accept that the best way to test our system is to deploy it all together, with everything else that it interacts with and then try broad-brush interactions with the whole lot, we have lost control.
Behavior-Driven Development (BDD) is an Agile approach that mixes requirement gathering, documentation and acceptance testing. You write human-readable sentences describing the features of your application and how they should work.
The modern gambling industry requires and incorporates advanced software to support its large online sites and applications, as well as a myriad of games for users. As this reliance increases, there is a growing need to be particularly sensitive to questions of fairness – an important foundation for building trust and engagement among users.
“Right now, people talk about being an AI company. There was a time after the iPhone App Store launch where people talked about being a mobile company. But no software company says they’re a mobile company now because it’d be unthinkable to not have a mobile app. And it’ll be unthinkable not to have intelligence integrated into every product and service. It’ll just be an expected, obvious thing.”- Sam Altman.
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