Blogs

Testing web applications is more difficult today than ever before, as testing on the web is time-consuming. Complexity increases with technology, and businesses and developers need efficient tools to deal with it. This is where Selenium became one of the most widely used test automation tools and has been crucial in reducing testing efforts as well as improving user experience.

Some of the popular AI tools people and corporations are using now include ChatGPT, Google Gemini, and Microsoft Copilot. This has resulted in higher usage and adoption of this technology and this has caused some worry among people, particularly in terms of employment.

So in today’s world of software development, where things happen so fast, test automation is no longer an option but a necessity. Thus, it helps developers shift their attention to creativity and develop new features rather than being bogged down by monotonous microtasks. But here’s the catch: automation isn’t an effortless solution. If not handled properly, it can create more issues than solutions—poor-quality test code, unreliable (flaky) tests, and holes in test coverage.

Whether you’re a Software Developer, DevOps Engineer, or Quality Assurance (QA) specialist, mastering API testing with tools like Postman is essential, especially during development. API testing using Postman makes it possible to increase security, provide better user experiences, and minimize the possibility of losses through bugs or vulnerabilities.

The software testing in earlier times was a purely manual method, which was quite labor-intensive and included a high chance of errors. Over the years, the complexity of systems led to the need for a better and more effective method for testing these software systems. This is where automation testing transforms the face of software testing. First, automation was used for unit tests or simple checks of the components of a system that are not connected with other components.

At Starwest 2024, Mr. Anand Gopalakrishnan delivered an insightful presentation titled "AI-Assisted Exploratory Testing for Healthcare Software Based on the STEEEP Domain of Healthcare Quality." He highlighted how artificial intelligence is revolutionizing exploratory testing by enabling real-time risk assessment and providing deeper insights into software performance.