工件:使用生成模型的神经网络的分布感知测试

2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) Pub Date : 2021-05-01 DOI:10.1109/ICSE-Companion52605.2021.00091

Swaroopa Dola, Matthew B. Dwyer, M. Soffa

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引用次数: 0

摘要

用于使用生成模型的神经网络分布感知测试的实验评估的工件在GitHub上公开可用，并且可以重用。该工件由python脚本、经过训练的深度神经网络模型文件和运行实验所需的数据组成。它还作为VirtualBox VM映像提供，用于再现论文结果。用户应熟悉使用VirtualBox软件和Linux平台来复制或重用工件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Artifact: Distribution-Aware Testing of Neural Networks Using Generative Models

The artifact used for the experimental evaluation of Distribution-Aware Testing of Neural Networks Using Generative Models is publicly available on GitHub and it is reusable. The artifact consists of python scripts, trained deep neural network model files and data required for running the experiments. It is also provided as a VirtualBox VM image for reproducing the paper results. Users should be familiar with using VirtualBox software and Linux platform to reproduce or reuse the artifact.

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2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

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