Exploratory testing has always thrived on adaptability, critical thinking, and creativity — qualities that AI cannot replace. Instead of making exploratory testing obsolete, AI enhances it: fueling testers with context, guiding exploration with risk-based insights, and automating repetitive tasks so humans can focus on discovery.
Integrate performance testing into Agile with Xray for faster releases, better user experience, and full Jira traceability.
Is AI just another buzzword, or can it actually help testers uncover bugs more effectively? In this article, our solution architect Sérgio Freire experiments using AI during Exploratory Testing sessions.
Manual test management can only take you so far. As software development accelerates, teams need scalable, automated strategies to stay ahead. In this article, you'll explore the shift from manual to automated test management.
Discover what regression testing is, why it’s essential in Agile and DevOps, and how to optimize it with automation and best practices.
From managing large datasets to integrating with CI/CD pipelines, QA teams face several roadblocks that can compromise test results and efficiency. In this article, we explore five common challenges in data-driven testing and provide practical solutions to help your team overcome them and scale smarter.
Test parameterization enables testers to execute the same test case with multiple input datasets, reducing redundancy and improving test efficiency. Instead of hardcoding values, testers define variables that are dynamically replaced during execution. Learn how to implement it in your testing strategy.
Discover how Xray Enterprise simplifies regulatory compliance with built-in traceability, audit-ready reporting, and support for industry standards.
Quality can no longer be an afterthought. As applications grow more complex, traditional testing struggles to keep up. Enter data-driven testing: a strategic approach that utilizes predictive insights to guide testing decisions. Explore the shift from intuition-based testing to data-backed strategies.
Data-driven testing separates test logic from data, allowing multiple input variations to be tested efficiently. Meanwhile, keyword-driven testing simplifies automation by defining reusable actions, making it accessible to non-technical testers. In this blog post, we compare both methodologies and show you which one you should choose.
Regulations require strict data storage policies, and failure to comply can result in hefty fines and reputational damage. Xray Enterprise simplifies this challenge with its Data Residency feature, allowing organizations to store their test data in region-specific locations while ensuring legal adherence. Learn how Xray Enterprise supports secure, compliant test management with industry-leading data governance.
Integrating test management with CI/CD pipelines helps teams track requirements, automate testing, and gain real-time insights into coverage and risk. Xray Enterprise centralizes test management, providing end-to-end traceability that enhances visibility, accountability, and efficiency in software delivery.
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