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Testing notes

As explained in Software Testing with Generative AI

Testing notes are informal records of test activities, observations, discoveries, and learning captured during or after testing.

Testing notes are lightweight records that capture observations and discoveries during exploratory testing. Their brevity helps testers stay focused, but later they may provide too little detail to reconstruct a past session. section 8.3

Use testing notes as inputs for a clearer testing story:

  • Write concise notes during exploration rather than allowing documentation to interrupt testing. section 8.3
  • Copy the notes into a delimited LLM prompt requesting a narrative of what happened and what was learned. section 8.3
  • Request a separate bug list so discoveries remain easy to discuss with the team. section 8.3

From notes to testing story

Markdown notes from an exploratory session examining bookings rendering in a report view can be submitted to ChatGPT. The resulting testing story describes the session, its data setup, and the bugs found. section 8.3

How Software Testing with Generative AI covers it

How deep it goes
Explains note-taking tradeoffs and an LLM-based conversion process, but does not detail a full note-taking method.
Examples
Uses Markdown notes about bookings rendering in a report view and a ChatGPT-generated testing story with a bug list.
What it assumes
Assumes an exploratory-testing session has produced concise notes suitable for sharing or debriefing.
What you can do after
Apply it via ChatGPT to turn exploratory-testing notes into a testing story and separate list of discovered bugs.
How it connects
Connects exploratory testing with LLMs, testing stories, Markdown, and bug reporting.

This explainer was generated by Manning's knowledge graph from the text of Software Testing with Generative AI. The section links point to the parts of the book it draws on.