Over the course of my career in testing and quality, I have seen many different quality strategies. All of them have been narrowly focused on testing, with perhaps a sprinkle of DevOps tossed in. I started to wonder why this is, and when I dove a bit deeper I realized that all of them were written by testers. It’s a truism in the industry that you can’t test quality into a product. Why is it then that all of our quality strategies revolve around testing or development methodologies?

At ground level, simulation imitates a process or a system through a model. These models are usually software-based and represent the key characteristics of the chosen system you want to imitate. As a result, the simulation collectively represents how the system evolves with respect to various scenarios and times. From testing your apps for one operating system on another to creating a virtual reality environment for learning how to drive a car – simulations are used in numerous use cases.

Artificial Intelligence (AI) is revolutionizing the way healthcare is delivered today. The industry’s data-driven evidential approach to medicine combined with AI is set to transform both the practice of medicine and how the treatment is delivered. AI is already being used to reinvent how people manage their health and access care, automate care delivery plans, and help with tedious tasks.

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.

Bug tracking is one of the most critical stages in the software development lifecycle. It is crucial for software organizations to be able to capture, attract, and resolve bugs throughout the entire development process to release bug-free software. With software quality being the top priority for IT organizations, using defect tracking tools has become the new norm. So in this article, we will discuss the 9 best defect management tools in detail and how they stack up against each other.