Defeater identification in assurance cases is itself prone to bias and incompleteness
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However, manually creating defeaters is a labor-intensive and time-consuming process, relying heavily on safety analysts' judgment, experience, creativity, and understanding of the system. This can lead to confirmation bias.
Motivating an LLM-assisted approach to defeater discovery by describing the limitations of manual defeater identification in assurance cases.
Moreover, generating defeaters is labor-intensive, relying heavily on the judgment and creativity of safety analysts, which can be prone to confirmation bias. There have been repeated calls for a systematic approach to identifying defeaters in assurance cases.
Motivating a taxonomy of real-world defeaters; also notes practitioners often struggle to identify defeaters systematically because assurance cases contain implicit assumptions that can be overlooked.
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