{
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  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-for-software-testing",
  "headline": "AI for Software Testing: Automated Test Generation, Fuzzing, and Quality Assurance",
  "description": "AI is transforming software testing -- from LLMs generating unit tests from code comments to AI-powered fuzzing finding security vulnerabilities in production systems. Test automation, once brittle and maintenance-heavy, is becoming intelligent: tests that write themselves, adapt to UI changes, and find bugs humans would miss.",
  "dateCreated": "2026-05-24T02:49:13.533Z",
  "dateModified": "2026-05-24",
  "author": {
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    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
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  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
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      "name": "The Future of Software Testing: AI-Powered Test Case Generation and Validation",
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    {
      "@type": "CreativeWork",
      "name": "AI in QA Testing: Tools, Use Cases, and Future -- Complete Guide 2026",
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