This article explains how to prepare the Spark API environment, define prompts for an AI model, and automatically generate valid and invalid equivalence classes and corresponding test cases for a subway ticket self‑service purchase system, complete with expected outcomes.
This article explains how to avoid common pitfalls in test case design by applying 5W2H requirement analysis, structuring cases with clear hierarchies, and using techniques such as equivalence partitioning, boundary value analysis, scenario flow analysis, and error guessing to create comprehensive, readable, and maintainable test suites.
The article explains core black‑box test case design techniques—including equivalence class partitioning, boundary value analysis, and the scenario method—detailing their principles, example tables, flow diagrams, and practical steps for selecting representative cases to achieve comprehensive coverage despite the impossibility of testing every possible input.
This article outlines the essential abilities every tester needs, explains why test design is the foundation of testing, and provides practical guidance on test case design methods, template structures, and best‑practice tips to improve test coverage and efficiency.
The article explains how to identify and remove redundant test cases by applying equivalence class partitioning and boundary value analysis, using a concrete account‑management example to reduce 28 generated cases down to 18 while preserving full coverage.
This article explains practical techniques—equivalence partitioning, boundary value analysis, and scenario testing—to create thorough login test cases, then expands with advanced functional, security, performance, and compatibility scenarios, helping testers improve coverage and demonstrate expertise in interviews.
