# Architecture-Guided Test Resource Allocation Via Logic

arXiv: https://arxiv.org/abs/2107.10948 · HTML: https://mlsanity.com/paper/2107.10948/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Jul 2021.

## Built on by (most cited first, 1 of 1)

- [Sound and Relatively Complete Belief Hoare Logic for Statistical Hypothesis Testing Programs](https://mlsanity.com/paper/2208.07074/) (2022)

## Abstract (arXiv)

We introduce a new logic named Quantitative Confidence Logic (QCL) that quantifies the level of confidence one has in the conclusion of a proof. By translating a fault tree representing a system's architecture to a proof, we show how to use QCL to give a solution to the test resource allocation problem that takes the given architecture into account. We implemented a tool called Astrahl and compared our results to other testing resource allocation strategies.