Test Design and Review Argumentation in AI-Assisted Test Generation

Workshop Paper Eduard Paul Enoiu, Robert Feldt

A taxonomy and template that describe each AI-generated test case by its goal, claim, reason and evidence, supporting both test design and review.

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This paper was published at the 10th International Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS 2026), as part of the MONA LISA project.

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