error-guessing

Employs error guessing to identify defects in complex logic and edge cases.

Updated Jul 5, 2026

Search Tags:#risk assessment #software testing #defect identification #systematic testing #error guessing

Ready to run

npx skills add https://github.com/phatnguyen975/functional-test-design --skill error-guessing

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: error-guessing
Source: https://github.com/phatnguyen975/functional-test-design/tree/main/error-guessing
Command: npx skills add https://github.com/phatnguyen975/functional-test-design --skill error-guessing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enhances systematic test design by applying expert-driven error guessing, identifying potential defects that might be missed by automated techniques.

Core Features & Use Cases

Supplement Systematic Testing: Use error guessing to find defects that systematic techniques may overlook.
Domain Knowledge & Experience: Incorporate tester's domain knowledge and historical defect data.
Structured Guessing: Apply the Fault Attack approach for structured guessing and improved coverage.
Test Case Prioritization: Prioritize test cases based on risk for efficient execution.
Use Case: After applying systematic testing techniques, use this Skill to explore potential defects in complex logic, boundary conditions, and multi-session effects.

Quick Start

/error-guessing --file="path/to/output.md"

Frequently Asked Questions about error-guessing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find software defects that systematic testing techniques miss?▼

Error guessing supplements systematic testing by applying a structured Fault Attack approach to identify potential defects. It leverages tester domain knowledge and historical defect data to explore complex logic, boundary conditions, and multi-session effects.

What is error guessing in software testing?▼

Error guessing is an expert-driven defect identification technique that supplements systematic test design. It uses historical defect data and domain knowledge to anticipate potential software failures in complex features and boundary conditions.

How do I prioritize test cases based on risk assessment?▼

You can prioritize test cases by applying structured error guessing to evaluate defect probability. This approach uses historical defect data and domain knowledge to target high-risk areas, ensuring efficient test execution for complex logic.

When should I use error guessing in my software testing workflow?▼

Use error guessing after applying systematic testing techniques to explore potential defects in complex logic, boundary conditions, and multi-session effects. It requires input from systematic testing and domain expertise to improve test coverage.

Can I use error guessing to identify boundary condition defects?▼

Yes, error guessing is optimized for identifying defects in boundary conditions, complex features, and multi-session effects. It applies structured guessing using historical defect data and domain knowledge to supplement systematic testing.