ISTQB · Topic 9 of 10
Using GenAI in Software Testing
Test-case generation via LLM, defect prediction, synthetic test-data generation, code review assistance.
6 lessons180 questions
What this topic covers
- 01Chain-of-thought prompting, change management, cloud infrastructure, and data curation for GenAI testing480m
- 02Few-Shot Prompting, Governance, LLMOps, and Meta Prompting480m
- 03On-premises GenAI infrastructure and prompt chaining for testing480m
- 04Test Level and Technique Specification in Prompts360m
- 05Vector databases, zero-shot prompting, and AI output validation for testers480m
- 06Retrieval-Augmented Generation (RAG) Pipeline for Testing360m
Other topics in CT-GenAI — Testing with Generative AI
Introduction to GenAI6 lessonsGenAI Foundations for Testers5 lessonsAI Risks and Compliance4 lessonsQuality Characteristics for GenAI Systems6 lessonsTesting GenAI Systems6 lessonsPrompt Engineering for Testing8 lessonsEngineering Quality into GenAI Solutions6 lessonsGenAI Infrastructure for Testing5 lessonsOrganizational and Role Considerations4 lessons