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The latest News and Information on Software Testing and related technologies.

katalon

Will AI Replace Manual Testers? Katalon's Data Says the Story Is More Complicated

Jul 13, 2026 By Monty Bagati In Katalon
If you only follow the loudest headlines, it is easy to believe AI is about to wipe out manual testing. Katalon's State of Software Quality Report 2025 tells a more useful story, and it comes from inside the industry: over 1,500 QA professionals, from individual contributors to senior executives, across North America, Europe, and Asia-Pacific.
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smartbear

Enterprise test management: Should you build or buy in the age of AI?

Jul 13, 2026 By Klaudia Makiej In SmartBear
AI has opened the door for teams to build tools they previously had to buy. With the right prompts and internal workflows, teams can generate test cases, summarize results, analyze defects, and automate parts of the testing process faster than ever. For enterprise QA and engineering leaders, that raises a practical question: “should we build our own test management layer, or adopt an AI-powered test management platform?” It’s a fair conversation to have.
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perforce

Introducing a Smarter Path to Intelligent Testing With Perforce Autonomous Testing

Jul 13, 2026 By Perforce In Perforce
Software teams are under constant pressure to release faster. Yet testing, the safeguard that protects quality, has not kept pace with modern delivery speeds. More code and shorter sprints overwhelm QA capacity, while fragmented tools and late-stage performance checks create bottlenecks that slow everything down. The question is not whether testing needs to evolve. The question is how to evolve without a costly rip-and-replace of your existing stack.
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Your Guide to Perforce Autonomous Testing

Jul 13, 2026 By Perforce In Perforce
Software testing is struggling to keep pace with modern release cycles. More code, faster deployments, fragmented tools, and increasing quality demands are creating bottlenecks for QA, engineering, and DevOps teams. Discover how Perforce Autonomous Testing transforms the way teams validate software by bringing functional, performance, web, mobile, and desktop testing together through a unified AI-driven experience. Using natural language, teams can define testing intent, automate execution, orchestrate complex workflows, and gain actionable insights faster than ever before.
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katalon

How to Test AI Applications Manually: A Playbook for Hallucinations, Bias, and Non-Deterministic Outputs

Jul 13, 2026 By Depa Panjie Purnama In Katalon
You have tested hundreds of features. You know the drill. Open the test case, write the preconditions, list the steps, fill in the expected result, run it, compare. Pass or fail. Move on. Then someone hands you an AI feature. A chatbot. A "summarize this ticket" button. A search box that answers in full sentences instead of returning a list of links. You open your test case template, you get to the "expected result" field, and you stop.
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keploy

Maintenance Testing: Types, Challenges & Tools (2026)

Jul 13, 2026 By Keploy In Keploy
Last month, a two-line bug fix took down three unrelated features in a colleague’s app. The fix itself was correct — it patched a null check on a checkout API. Nobody re-ran the tests for the inventory service that depended on it, and by Monday, support tickets were stacking up. That gap is exactly what maintenance testing exists to close. Maintenance testing is the QA work you do after software ships — testing every bug fix, upgrade, patch, or migration to confirm nothing else broke.
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loadfocus

News Analysis 2026: How AI Performance Testing Tools Are Transforming Software Quality

Jul 10, 2026 By LoadFocus In LoadFocus
This summer, leading performance testing platforms have introduced a new wave of AI capabilities that are fundamentally changing how software teams validate application speed and reliability. Rather than incremental updates, these advances mark a step change: AI performance testing now enables faster test creation, greater accuracy, and wider accessibility across teams.
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xray

How Xray's AI Test Prioritization Helps Teams Focus on High-Risk Tests

Jul 10, 2026 By Mariana Santos In Xray
Test execution is one of the most time-sensitive stages of software delivery. Teams are expected to validate functionality, ensure stability, and support release decisions within increasingly shorter development cycles. Even with strong automation in place, there is rarely enough time to execute every Test before a release. This makes prioritization a critical part of the QA process.
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