Architecture-Guided Test Resource Allocation Via Logic

Clovis Eberhart; Akihisa Yamada; Stefan Klikovits; Shin-ya Katsumata; Tsutomu Kobayashi; Ichiro Hasuo; Fuyuki Ishikawa

doi:10.1007/978-3-030-79379-1_2

paper

Architecture-Guided Test Resource Allocation Via Logic

arXiv:2107.10948 · doi:10.1007/978-3-030-79379-1_2

Abstract

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.

17 pages, 6 figures, author version of the manuscript of the same name published in the proceedings of the 15th International Conference on Tests and Proofs (TAP 2021)