WebDec 1, 2024 · Specifically, we propose a test subset selection algorithm that can automatically select a test suite with high coverage but a small size when the labeling budget is limited. Compared with... WebOur results invoke skepticism that increasing neuron coverage may not be a meaningful objective for generating tests for deep neural networks and call for a new test generation …

An Overview of Structural Coverage Metrics for Testing

Web在此基础上提出神经元n的k节神经元覆盖率 (k-multisection Neuron Coverage)，即神经元n激活值取值范围的k个等分节中被给定的测试输入集合覆盖到的比例： 在此基础 … WebJan 1, 2024 · The k-multisection neuron coverage measures how thoroughly the boundary [low n, up n] are covered by the given test inputs T. To quantify KMNC, the boundary [low n, up n] is divided into k equal sections (i.e., k-multisections), and S … cm秒数 規制

机器学习/深度学习系统测试 (二) - 知乎 - 知乎专栏

WebPei et al. [35] introduce the metric of neuron coverage for a neural network with rectified linear units (ReLus) as the activation functions. A test suite is said to achieve full … WebNeuron coverage, inspired by code coverage in software testing, has been proposed as one such V&V method. We provide a summary of different neuron coverage variants and their inspiration ... definition of NC and additionally introduces k-multisection coverage and neuron boundary coverage. Another variant, [TPJR18], uses image transformations ... WebBased on the control flow and data flow of the decision graph, we propose two variants of path coverage to measure the adequacy of the test cases in exercising the decision logic. … cm業務委託 仕様書