摘要
本文首先结合广播电视应用软件技术要求和测试方法的研究情况,介绍广播电视应用软件网络交互分析背景、需求,其次介绍利用字符级卷积神经网络(CNN)实现对交互URL进行分类和一致性分析的方法。文章最后给出一种广播电视应用软件网络交互分析系统的设计方法,为广播电视应用软件测试评价方法提供支撑。
In this paper, we firstly introduce the background and requirements of network interaction analysis of radio anti television application software, according to the radio and television application technology requirements and testing methods. Secondly, we introduce how to classify the interaction URL by using character-level convolutional neural network (CNN). Finally, a design of network interactive analysis system of radio and television application software is given, which supports the testing and evaluation of radio and television application software.
作者
何晶
张伟
He Jing;Zhang Wei(Academy of Broadcasting Science, SAPPFRT, Beijing 100866,China)
出处
《广播与电视技术》
2018年第5期143-146,共4页
Radio & TV Broadcast Engineering
基金
2017年基本科研业务费项目<广播电视智能终端应用软件技术要求及检测方法研究>(课题编号:JBKY2017011)资助
关键词
广播电视
应用软件
网络交互
分析
Radio and television
Application software
Network interaction
Analysis