首页 | 本学科首页   官方微博 | 高级检索  
     

基于概率模型检测的移动应用缺陷评估
引用本文:张国强,殷博,朱静雯,康介恢.基于概率模型检测的移动应用缺陷评估[J].计算机工程与设计,2019,40(7):1908-1914.
作者姓名:张国强  殷博  朱静雯  康介恢
作者单位:国网天津市电力公司电力科学研究院,天津,300384;国网天津市电力公司,天津,300010;南开大学软件学院,天津,300350;南开大学计算机与控制工程学院,天津,300350
基金项目:天津市自然科学基金重点项目;天津市科技支撑计划
摘    要:为研究移动应用缺陷发生概率对应用缺陷的修复选择、应用程序质量评估的影响,提出一种基于概率模型检测的移动应用程序缺陷评估研究方法。生成移动应用程序的回调序列概率模型,将该模型转换为离散时间链的Markov模型,采用概率模型检测器PRISM计算移动应用缺陷的发生概率,通过统计分析和对比实验分析研究方法的可行性和有效性。

关 键 词:移动应用  回调序列  应用缺陷  MARKOV模型  概率模型检测

Evaluation of mobile application defect based on probabilistic model detection
ZHANG Guo-qiang,YIN Bo,ZHU Jing-wen,KANG Jie-hui.Evaluation of mobile application defect based on probabilistic model detection[J].Computer Engineering and Design,2019,40(7):1908-1914.
Authors:ZHANG Guo-qiang  YIN Bo  ZHU Jing-wen  KANG Jie-hui
Affiliation:(Electric Power Research Institute of State Grid Tianjin Electric Power Company,Tianjin 300384,China;State Grid Tianjin Electric Power Company,Tianjin 300010,China;College of Software,Nankai University,Tianjin 300350,China;College of Computer and Control Engineering,Nankai University,Tianjin 300350,China)
Abstract:To study the influence of the probability of the defect occurrence on the repair of application defect and the evaluation of the application quality,a method for evaluating the defect of mobile application based on the probabilistic model detection was proposed. A callback sequence probability model of mobile application was generated,and the model was transformed into a discrete time-chain Markov model. The probabilistic model detector PRISM was used to calculate the probability of mobile app- lication defects. The feasibility and validity of the method were analyzed by statistical analysis and comparative experiments.
Keywords:mobile applications  callback sequence  application defects  Markov model  probabilistic model detection
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号