Test Data Generation Based on Field Names

When to use this skill

When a user provides a field name (e.g., "Password", "Email", "Age") and a set of validation rules. When asked to generate "Valid", "Invalid", or "Boundary" test data sets. When preparing data for automated tests or manual regression testing.

Workflow

Rule Analysis: Parse the provided rules for each field (min/max length, character types, patterns). Identify the "Boundary" values (e.g., if max is 10, boundary values are 9, 10, and 11).

Data Set Construction:

Valid Data: Generate 3-5 strings/values that satisfy ALL rules.

Invalid Data: Generate values that violate exactly one rule at a time to isolate validation logic.

Boundary Data: Specifically target minimum and maximum limits.

Reporting: Present the data in a clear table format categorized by data type.

Instructions

1. Parsing Validation Rules

Identify tokens like "Min", "Max", "Uppercase", "Special Character", "Numeric Only", "Regex". Example Input:

Field: Username Rules: Min 5, Max 12, Alpha-numeric only

2. Generating Values Valid: User123, Admin88, TestPlayer Invalid: Abc (Too short), LongUsername1234 (Too long), User@123 (Invalid character) Boundary: abcde (5 chars), abcdefghijkl (12 chars), abcd (4 chars - Invalid boundary)