When a project is sent to the testing team, the work starts for inspection of its quality before shipping it to the end user. As a responsible team, testers always want the number of bugs to be the bare minimum, with no complaints during the release. To bring this vision into reality, the testers have two paths they can take. The first path is aggressive.
Accentuating both quality and security while developing applications is the need of the hour. It helps ensure your application is free from all possible flaws and security loopholes that might lead to significant revenue losses. Testers all across the globe rely on both black box and white box testing to identify and remove all the critical errors before releasing the final product. In this article, I’ll go into detail about Black Box vs.
Automation testing is a technique in which testers leverage automated software tools for executing test cases. These tests typically include operations that are repetitive in both their nature and outcome. Automating the test suite helps in saving time and effort required in performing repetitive and resource-heavy tasks that are difficult to perform manually. In this blog post, let’s explore the advantages, types, and frameworks of Automation testing.
A hands-on guide to help you to get started with Appium 2.0, the new features, and how to install and use it locally or on Bitrise.
An application can broadly be divided into two categories: frontend and backend. Before releasing a product in the market, it’s essential to test whether both the frontend and backend of the application are working correctly. Frontend testing is the testing of the user interface visible to the user by which users interact with the application. In contrast, backend testing is about testing the actual database and server logic under the hood, which is not visible to the application users.
For the next interview in our series speaking to technical leaders from around the world, we’ve welcomed Hikari Senju, Founder and CEO of Omneky. Hikari Senju is the founder and chief executive officer of Omneky, an AI platform for generating, analyzing, and optimizing personalized ads at scale.
