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Naive statistical analyses can lead to false positives in software engineering experiments, as demonstrated by the overestimation of prompt engineering's impact on code generation when confounding bias isn't addressed.
Imagine software that autonomously evolves and maintains itself – this paper lays out the architectural groundwork for making that a reality.
