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Architecture-Guided Test Resource Allocation Via Logic

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arxiv 2107.10948 v1 pith:LZ3KU5AV submitted 2021-07-22 cs.SE

Clovis Eberhart , Akihisa Yamada , Stefan Klikovits , Shin-ya Katsumata , Tsutomu Kobayashi , Ichiro Hasuo , Fuyuki Ishikawa This is my paper · ORCID
classification cs.SE
keywords allocationlogicresourcearchitectureconfidenceprooftestaccount
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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.

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