Scriptless Test Automation enables testers and business users to automate test cases without worrying about the coding. It helps to achieve faster results and reduces the time expended to understand and develop the code leading to faster TTM higher ROI and increased coverage with low maintenance.
Testing in Machine learning is way too different from the way we test software traditionally(functional tests regression tests etc.) where we check for actual vs expected behavior of any given application. In the ML world data sets with desired behavior are used to train the model(learn the logic) and we need to check if the trained model consistently provides us with the expected output.
askui, a start-up from Karlsruhe, Germany aims to revolutionize the way companies can integrate AI automation in UI testing and invites to beta launch of their AI-based automation tool – James.
The rise of test automation is being driven by a wide variety of technologies designed to make automation more robust and efficient. The term smart selector occurs repeatedly in this context. In this article, I take a look at the technology behind this term.
We all have heard about data lake and its importance, but we rarely talk about a testing results data lake and how it can help us. This article shares some insights on testing data lake, how it can be created and the benefits
Lately, we’ve heard about Machine Learning everywhere, in every sector, a fitness tracker applications, an intelligent home assistant like Google Home/Amazon Alexa, what about an application recommending new stuff related to our behavior as a buyer, our streaming applications recommending music or movies based on our data. Let’s talk about basic concepts to understand better… Continue Reading →