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Ritsumeikan University
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sbom-unifier boosts SBOM completeness significantly, making it a game-changer for vulnerability management and compliance in software development.
Judging AI coding agents solely by merged/rejected pull requests is misleading: over 60% of rejections aren't the agent's fault, and even "successful" merges often hide significant human intervention.
Closed-world testing assumptions crumble when faced with the infinite possibilities of open-world games, demanding a new paradigm focused on characterizing behavior under uncertainty.