Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks

• Published in: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) pp. 408 - 419
• Main Authors: Yang, Zhou, Shi, Jieke, Asyrofi, Muhammad Hilmi, Lo, David
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2022
• Subjects: Coverage-Driven Testing; Deep learning; Deep Learning Testing; Measurement; Neural networks; Neurons; Perturbation methods; Software; Software Quality; Training

Deep neural networks (DNN) have been widely applied in modern life, including critical domains like autonomous driving, making it essential to ensure the reliability and robustness of DNN-powered systems. As an analogy to code coverage metrics for testing conventional software, researchers have prop...