What drives organizations to make the tough choices between speeding up releases, cutting costs, boosting product quality, and sparing time for innovation? One of the critical reasons is the time consumed in maintaining failed test cases and the inability to leverage AI in testing. Test automation is proving ineffective and outdated due to the high cost and time needed for maintenance.

The network of physical things that are fixed with software, sensors, and different technologies for the purpose of swapping and connecting data with other systems and devices over the Internet is known as the Internet of Things (IoT). The Internet of Things (IoT) has experienced incredible growth, thanks to technological advancements and the surge in demand for instant insights into digital transformation solutions and activities.

You definitely must have heard about this one term fluttering in the air: ‘Flutter’. Flutter, a relatively new mobile app development framework, has been gaining a lot of popularity among mobile app developers in recent years. Don’t you agree? But why is that so? Are other frameworks not up to the mark? Or is it just the simplest and ever-evolving tech stack?

Energy, the driver of the global economy, is undergoing one of the largest secular shifts of our time, propelled by hundreds of trillions of dollars in global investment in the next 25 years. This shift creates a tremendous opportunity for energy companies. And, at the heart of successfully navigating this change sit data and AI.

You’re testing a user registration page on a website to ensure that new users are able to set up their account easily. You build a test that checks to make sure that users can: Congratulations, you’ve just automated a user acceptance test. But what is user acceptance testing (UAT)? And why is it important for QA testers to understand? In this article, we’ll walk you through everything a QA tester should know about user acceptance testing.

The network of physical things that are fixed with software, sensors, and different technologies for the purpose of swapping and connecting data with other systems and devices over the Internet is known as the Internet of Things (IoT). The Internet of Things (IoT) has experienced incredible growth, thanks to technological advancements and the surge in demand for instant insights into digital transformation solutions and activities.

Software testing is a critical phase in the software development lifecycle, ensuring that the final product meets the desired quality standards. To effectively test software, developers create test plans that outline the specific testing activities to be performed. This blog post explores real-world case examples of various software test plans, providing insights into their practical applications.

Application performance can make the difference between retaining or losing customers, with delays beyond a few seconds leading to dropped conversions. Performance testing and monitoring are vital for improving the overall user experience, achieving a competitive advantage, enhancing resource efficiency, enabling scalability, and reducing costs.

APIs enable our digital world. But they can also be a powerful source of revenue through the process of API monetization or API productization. A decade ago, many business workflows were conducted through manual tasks, logging into monolithic SaaS applications that were rolled out across entire business units or companies. Fast forward to 2024, and we find individual developers leveraging automation, AI, and APIs to tackle specific, targeted use cases.

Git is one of the most widely used collaboration tools in Software development. Even software developers working without teams often use Git as a version control system. Most people interact with Git through the command line, but many code editors and IDEs have Git integrations with built-in tools to make your workflow easier. Though Git is widely used, many developers only have a surface-level appreciation of all that Git has to offer.