ME / RESEARCH TOPIC
4 public research records in this topic.
Research note in development
Exploring careful uses of AI for test ideas, maintenance, and quality evidence
Software testing involves imagination as well as repetition. This developing research note asks where AI might help propose tests, maintain them, and explain quality evidence without becoming its own judge. The design remains provisional while its claims are compared with public research and reproducible experiments.
Working paper — not peer reviewed
A personal hypothesis about private meeting memory, consent, and small tests
Some people want help remembering meetings but cannot send recordings or transcripts to a cloud service. This paper explores a personal listening notebook that keeps source material under the user's control. It asks who might value the idea, which safeguards it would need, and which small observations should come before larger commitments. The analysis is a provisional design inquiry, not proof of demand or a product forecast.
Research note in development
A technical inquiry into test ideas, oracles, architecture checks, and maintenance
When AI helps design tests, it can also repeat mistaken assumptions or reward easy measurements. This developing research note examines useful roles, failure modes, and controls for AI-enabled testing. Claims about implemented systems and projected benefits remain unverified until reproducible evidence supports them.
Research note in development
Exploring how AI might change judgment, roles, workflow, and evidence in software quality
AI may change how tests are written, what quality practitioners examine, and how they justify decisions. This developing research note examines those possible shifts in cognition, roles, workflow, and evidence. Its search strategy and source-selection record are still being reconstructed.