🧠 Generative AI and the Future of Software Testing

 

🤖 What is Generative AI?

Generative AI refers to artificial intelligence systems that can generate new content — such as text, images, audio, video, or even code — based on the data they’ve learned from.

Popular Generative AI Tools:

  • ChatGPT – generates human-like text

  • GitHub Copilot – writes code and test cases

  • DALL·E – creates images from text prompts

  • Sora – generates videos from text descriptions

These tools are based on large language models (LLMs) and deep learning technologies.

🧪 AI in Software Testing – A New Era Begins

Traditionally, software testing included:

  • Manual Testing

  • Automation Testing (using tools like Selenium, Java, Python)

Now, with AI, we’re moving into a third wave of testing —
AI-Powered Testing.

What is AI Testing?

  • AI tools generate test cases automatically

  • Predict bugs using machine learning

  • Self-healing scripts that fix themselves

  • Smart visual validations and data analysis

Popular AI Testing Tools:

  • Testim.io

  • Mabl

  • Applitools

  • Functionize

  • GitHub Copilot (for test case writing)

👨‍💻 Who is an AI Tester?

An AI Tester is someone who combines traditional testing skills with modern AI tools to boost test speed, coverage, and accuracy.

Responsibilities:

  • Using AI to generate and validate test cases

  • Performing exploratory testing using AI suggestions

  • Understanding AI-based analytics and dashboards

  • Verifying machine learning model outputs

  • Working with tools like Copilot, Mabl, Testim

💡 What Can Generative AI Do in Testing?

TaskAI Capability
✅ Test Case GenerationTools like ChatGPT can auto-generate test cases based on scenarios
✅ Test Data GenerationGenerate realistic input data
✅ Code ReviewsCopilot suggests improvements and bug fixes
✅ ReportingWrite bug summaries, reports, documentation using AI
✅ Visual TestingCompare UI screenshots to catch layout bugs using AI
Location: FVHP+4F Panuara NSW, Australia

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