Software quality has evolved over time. Initially, the focus was on finding and resolving defects prior to a product launch. As technology advanced, the emphasis shifted towards maintaining quality ac
Discover how AI and shift-left testing streamline QA processes, ensuring high-quality software delivery while maintaining speed and efficiency.
In this complete guide, we’ll walk you through the principles, best practices, and creative techniques to maximize the impact of your Exploratory Testing sessions.
While AI excels at automating repetitive tasks and analyzing data, humans contribute creativity, critical thinking, and the ability to navigate complex scenarios. This article delves into the strengths of both, exploring how they enhance software testing.
With AI, testers can identify potential problems earlier, streamline planning, and enhance test coverage, all while improving resource management. While the transition brings its own challenges, such as data quality and skill adaptation, AI's benefits are vast. Learn about it here.
This article highlights three skills: fast learning, critical thinking, and clear communication and links it to the Feynman Technique for accelerated learning. Fostering a culture of curiosity and collaboration is crucial for delivering top-notch quality in products.
To master exploratory testing, you'll need a strong foundation in crafting effective test scenarios, analyzing data, iterating quickly based on feedback, and identifying potential risks. Learn more with these 5 top exploratory testing books.
CI/CD pipelines are essential for fast and reliable software releases, but they come with challenges like team misalignment, flaky tests, and version control conflicts. This article explores these obstacles and offers solutions, such as optimizing testing, improving debugging, and enhancing security checks.
As new technologies (IoT, AR, VR) take the stage, quality engineering must evolve to keep pace. Explore how QE strategies can thrive in 2024 and beyond.
Achieving high software quality hinges on two factors: testability and observability. When these two elements work together, they enhance the overall quality and reliability of your software. Learn how!
As AI continues to evolve, it promises to further innovate and optimize testing methodologies, creating new opportunities and demands for testers in agile and DevOps environments. Learn more about it.
Learn how to set clear goals, provide practical training sessions, and implement mentorship programs so your team can find as many bugs as possible with Exploratory Testing.
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