Exploratory testing, a dynamic and versatile approach to software testing, has gained significant traction in recent years. In previous blog posts we explained what's Exploratory Testing and why it's so helpful. Also, we have discussed How to develop a Structured Exploratory testing strategy and we introduced why it is the real asset to exceptional functionality and superb UX if you want your QA to go above and beyond basic expectations.

In software development, load testing plays a critical role in ensuring that applications perform optimally under any imaginable load condition. To do this, developers subject applications to several types of load tests, including scalability, spike, endurance, and stress testing. The ultimate goal of these performance tests is to pinpoint potential bottlenecks and ensure the reliability of the overall system where the software application runs before reaching production.

Dark Mode, also known as night mode or dark theme, has surged in popularity in user interface (UI) design in recent years. This design trend replaces the conventional bright backgrounds with darker tones, and its appeal extends across various apps, websites, and operating systems. The shift from light to dark color palettes enhances both aesthetics and functionality.

Picture a team that’s working on a new mobile banking application: This is an example of the impact Exploratory Testing can have on your testing efforts. It is a hands-on approach to software testing in which you simultaneously design and execute tests using your creativity and intuition. The purpose of this blog post is to guide you on how to effectively train your team for exploratory testing, ensuring they are well-equipped to leverage this approach for maximizing software quality.

Playwright, developed by Microsoft, is a newer tool designed for end-to-end testing. It supports multiple browsers including Chromium, Firefox, and WebKit. Key features include auto-waiting, tracing, and headless mode. Playwright supports languages like JavaScript, Python, C#, and Java. On the other hand, Selenium is an established, open-source tool with a long history in web testing. It supports a wide range of browsers and platforms.

The financial realm stands at the brink of a shift promising to alter how we handle money, carry out transactions, and oversee affairs. This transformation is encapsulated in the concept of “Finternet” – an innovative global financial ecosystem grounded in technologies like Blockchain, Decentralized Identity, and Smart Contracts. What exactly is the finternet, and why does it have the potential to revolutionize today’s financial landscape?

Postman has long been a go-to tool for API developers and QA engineers in providing a streamlined environment for testing and documenting APIs. Its user-friendly interface and robust features made it an industry standard. However, Postman isn’t suitable for everyone. Its complexity has increased over the years, leading to a UI that can be overwhelming, and a steep learning curve – especially for beginners.

Today, mobile apps are no longer a luxury but a necessity for businesses striving to stay competitive. Whether it’s an e-commerce platform, a banking app, or a fitness tracker, the expectation is clear: the app must perform flawlessly and scale effortlessly to meet growing user demands. The success of your mobile app hinges not just on its initial launch but on its ability to scale and perform consistently as your user base expands. Selecting the right tools to support this growth is critical.

If you're not doing automation testing, you're missing out on its incredible benefits. Today, automation testing is the norm in the QE industry. With automation testing, testers can now dramatically increase their productivity while introducing a standard to the QA process. Here are 10 core benefits that any QA team can immediately see upon adopting automation testing.

‍ The rise of artificial intelligence (AI) in testing is enabling more predictive and intelligent test generation, execution, and defect analysis. This shift aims to reduce the time and effort required for manual testing to enhance test coverage and improve the overall software quality. Justifiably, key insights from Fortune Business project the growth of the AI-enabled testing market from USD 736.8 million in 2023 to USD 2,746.6 million by 2030.