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PAOLO

As explained in Software Testing with Generative AI

PAOLO is a mnemonic for generating test ideas about portrait orientation, audio, objects, landscape orientation, and overlays.

PAOLO is a mnemonic for generating exploratory test ideas about screen orientation and rendering. It prompts testers to examine portrait, audio, objects, landscape, and overlays. section 8.2.3

Use each letter as a prompt for a different testing angle:

  • Portrait — How does the interface look in portrait view? section 8.2.3
  • Audio — Are there audio artifacts to consider? section 8.2.3
  • Objects — What other objects are visible and need consideration? section 8.2.3
  • Landscape — How does the interface look in landscape view? section 8.2.3
  • Overlay — Are there overlays to consider? section 8.2.3

Using PAOLO with an LLM

For a report calendar with many bookings, instruct an LLM to act as an exploratory tester, provide the PAOLO criteria between delimiters, and request ideas grouped by criterion. A few-shot example establishes the format: “Navigation - Can the keyboard be used to navigate the report calendar.” section 8.2.3

How Software Testing with Generative AI covers it

How deep it goes
Defines five prompts and demonstrates LLM-assisted formatting, while leaving idea generation partly dependent on experience and bias.
Examples
Uses a report calendar with many bookings and a keyboard-navigation example to demonstrate grouped test-idea generation.
What it assumes
Assumes exploratory-testing judgment and recognizes that personal experience and bias still influence the resulting ideas.
What you can do after
Apply it via a mnemonic or structured LLM prompt to generate orientation and rendering test ideas.
How it connects
Connects exploratory testing with heuristics, screen orientation, rendering, LLM prompting, delimiters, and few-shot examples.
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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.