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 quality assurance, transparent and timely communication is critical to ensure all related efforts’ success and positive impact. Reporting becomes critical for accurate decision-making, software product health tracking and adequate planning. A QA report is crucial for providing a clear overview of testing efforts, outcomes, and actionable insights.

The perfect defect-free app doesn’t exist… unless you shrink your codebase and deliver a product no one wants to use. Even then, there’s no guarantee it won’t have issues. For developers, zero-defect goals set unrealistic expectations that not only cause frustration but also lead to diminishing returns.

In the continuous quest to raise the bar on software quality, product teams often find it difficult to avoid trade-offs between release speed and test coverage. One of the more significant sources of trade-off tension is associated with test automation runtimes. Achieving the necessary device coverage during testing often requires teams to seek out multiple device cloud providers with different strengths across security, geolocation, device types, and support for alternative test automation frameworks.

Since generative AI exploded onto the global market, organizations have flocked to adopt it. SAP is no exception–late last year, the ERP launched its embedded AI copilot, Joule. In addition, SAP has invested in other AI companies, hired a chief artificial intelligence officer, and added generative AI features to its products. In order to spur cloud adoption, many of SAP’s premium AI features will only be available to RISE with SAP and GROW with SAP customers.

Welcome to the July 2024 edition of the Katalon Product Roundup! We’re excited to unveil the latest updates and features designed to enhance your testing experience and streamline your workflows. This release introduces powerful enhancements to Katalon Studio, Katalon Recorder, and Katalon TestCloud. Let’s dive into what’s new!

In today’s rapidly evolving tech landscape, it's tempting for businesses to chase after the latest trends—Artificial Intelligence (AI) being the crown jewel of them all. However, unless you're an AI and data analytics provider, focusing solely on AI might be a misstep.

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.