Gespeichert in:
| 1. Verfasser: | |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2602.07324 |
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Inhaltsangabe:
- Static analyses overwhelmingly trade precision for soundness and automation. For this reason, their use-cases are restricted to situations where imprecision isn't prohibitive. In this paper, we propose and specify a static analysis that accepts user-supplied program assumptions that are local to program locations. Such assumptions can be used to counteract imprecision in static analyses, enabling their use in a much wider variety of applications. These assumptions are taken by the analyzer non-deterministically, resulting in a function from sets of accepted assumptions to the resulting analysis under those assumptions. We also demonstrate the utility of such a function in two ways, both of which showcase how it can enable optimization over a search space of assumptions that is otherwise infeasible without the specified analysis.