Imagine releasing a product or application with poor quality. The application is unfeasible to use and navigate from one menu to another. By the time we realize that the features are not generating value for intended customers, it may be too late to make any modifications, and it will be exorbitant to fix them. In such situations, Dogfooding testing helps prioritize features.

Imagine you open a shopping website, browse around and see some products of your liking. After placing them in the cart, you're all ready to check out, only to discover that your favorite items are nowhere to be found on the list. This is one of many examples of a software bug that could be caught using integration testing. There are multiple testing stages that software goes through before release, the two most popular being unit and integration testing.

Selenium stands apart from other testing tools by offering a variety of techniques to test applications, which has led to its widespread use in automating web applications. No matter how complicated the user interface (UI) is, Selenium offers several methods to automate web apps, decreasing or eliminating the need for manual labor. So, how can we automate online applications when using a mouse or keyboard to communicate with the browser?

Data governance and management is a term that has become more commonplace in recent years. However, many organizations are still struggling with how to implement effective data governance and management strategies. This lack of focus is becoming more and more apparent as the importance of data management continues to grow. Here are the four key pillars that will help you successfully implement your data governance strategy.

Midnight, December 31, 1999, marked the beginning of a millennium where aircrafts would not fall out of the sky and bank ATMs would not spew millions of dollars from their cash withdrawal slots. Preemptive software testing and remediation on a global scale provided the automated world with some assurance that the machines would continue to run as they had for decades.

Software testing is the process of checking the quality of a product before launching. It measures the software's completeness to the single functional (or non-functional) attributes and whether it has fulfilled the business logic or shown us the missing gaps in requirements that need immediate tackles. Software testing is an integral part of the software development life cycle. Over time, software testing activities have evolved to meet the ever-increasing complexity of applications.

Every software engineer dreams of the day when they can simply type English-language sentences into a development platform and out pops a new, production-ready app. The app will be free of bugs because the natural language processing (NLP) functionality of the platform will have automatically created the test cases, run the tests, and self-corrected for changes to the app features. AI researchers in software testing are heavily invested in making testing as autonomous and natural as possible.