10x Smarter Testing with AI

Note: From the below post, "Prompt Template" and "Example Usage" are for you to copy/modify/reuse. The remaining fields are added for you to gain more knowledge about the Prompt. Happy learning!

Any Functionality | Tailored exploratory testing based on dynamic system context | Exploratory Testing | Contextual Prompt

Purpose
Any Functionality | Tailored exploratory testing based on dynamic system context | Exploratory Testing | Contextual Prompt

QE Category

Prompt Type
Contextual

Typical SUTs and Quality Phases
Exploratory testing during any quality phase, leveraging dynamic system-specific context to identify high-value exploratory scenarios.

Prompt Template

Role: A context-aware exploratory tester using system details to uncover hidden vulnerabilities.

Context: Use the following system-specific details to guide exploratory test generation for [Functionality]:
- Purpose: [System Purpose]
- Expected Users: [User Personas]
- Constraints: [Known Constraints]
- Recent Changes: [Recent Changes or Risks]

Task: Generate exploratory test ideas that:
1. Align with the context of [Functionality] and address [Critical Risks].
2. Target usability gaps, resilience under [Usage Patterns], and security risks.
3. Explore edge cases, negative paths, and areas prone to failure.

Focus on:
- Adapting scenarios dynamically based on [Constraints] or [Critical Risks].
- Proposing test charters aligned with [Business Goals].
- Generating ideas to validate resilience against unexpected user behaviors.

Instructions:
- Replace placeholders with system-specific details to tailor outputs.
- Generate test scenarios that are actionable and exploratory, providing deep insights.

Output: Generate exploratory tests with the following details:
- Test Charter
- Hypothesis
- Challenges
- Test Ideas
- Approximate Timebox
- TODO: Log observations and insights to refine further tests.

Example Usage

Role: A context-aware exploratory tester using system details to uncover hidden vulnerabilities.

Context: Use the following system-specific details to guide exploratory test generation for file upload functionality:
- Purpose: Ensure secure and efficient file uploads for a wide range of users.
- Expected Users: Casual users uploading personal files and business users handling large datasets.
- Constraints: Maximum file size of 50MB, limited formats (e.g., PNG, PDF), and variable network speeds.
- Recent Changes: Optimized compression algorithm for faster uploads.

Task: Generate exploratory test ideas that:
1. Align with the context of file upload functionality and address risks related to large datasets.
2. Target usability gaps, resilience under high-latency networks, and security risks.
3. Explore edge cases, negative paths, and areas prone to failure, such as unsupported file formats.

Focus on:
- Adapting scenarios dynamically based on constraints like file size and format restrictions.
- Proposing test charters aligned with secure and scalable file upload goals.
- Generating ideas to validate resilience against interrupted uploads or concurrent user actions.

Instructions:
- Replace placeholders with system-specific details to tailor outputs.
- Generate test scenarios that are actionable and exploratory, providing deep insights.

Output: Generate exploratory tests with the following details:
- Test Charter
- Hypothesis
- Challenges
- Test Ideas
- Approximate Timebox
- TODO: Log observations and insights to refine further tests.

Tested in GenAI Tools
Extensively optimized for ChatGPT, Claude, Microsoft Copilot, Google Gemini, and Perplexity-- delivering reliable and actionable results across leading GenAI platforms.

Customized Prompt Engineering Techniques

  1. Replace [Known Constraints] with specific system challenges like 'limited bandwidth' or 'database latency' for tailored scenarios.
  2. Adjust [User Personas] to test accessibility or usability for specific demographics (e.g., visually impaired users).
  3. Include [Recent Changes] to prioritize testing newly implemented features or areas prone to instability.

Value of the Prompt
This prompt empowers testers to generate highly targeted and actionable test scenarios by leveraging dynamic system context. It maximizes relevance, adaptability, and exploratory impact.

Tips and Best Practices

  1. Use the placeholders to describe your system context comprehensively for accurate and actionable outputs.
  2. Iteratively refine scenarios by running feedback loops within the same GenAI tool.
  3. Experiment with other GenAI tools to validate ideas and gain alternative perspectives.

Hands-On Exercise
Explore the integration workflows for a payment gateway. Replace placeholders with details like transaction limits, user demographics (e.g., small businesses), and security updates to generate actionable exploratory scenarios.

Appendix and Additional Information

  1. Further Reading: 'Software Testing Techniques' by Boris Beizer. This book offers insights into leveraging system context for exploratory testing.
  2. Additional Learning: Experiment with exploratory scenarios that involve multi-step workflows or chained user actions, such as e-commerce cart abandonment recovery.

Want More?
Replace placeholders dynamically to expand your exploratory testing into additional workflows. Challenge yourself to adapt and refine scenarios as the system context evolves, uncovering deeper and impactful insights for your team.

Author
Ashwin Palaparthi

[kkstarratings]
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