基于概率模型检测的移动应用缺陷评估  

Evaluation of mobile application defect based on probabilistic model detection

作　　者：张国强[1] 殷博[2] 朱静雯 康介恢 ZHANG Guo-qiang;YIN Bo;ZHU Jing-wen;KANG Jie-hui(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)

机构地区：[1]国网天津市电力公司电力科学研究院,天津300384 [2]国网天津市电力公司,天津300010 [3]南开大学软件学院,天津300350 [4]南开大学计算机与控制工程学院,天津300350

出　　处：《计算机工程与设计》2019年第7期1908-1914,共7页Computer Engineering and Design

基　　金：天津市自然科学基金重点基金项目(17JCZDJC30700);天津市科技支撑基金项目(17YFZCGX00610)

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。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.

关 键 词：移动应用 回调序列 应用缺陷 MARKOV模型 概率模型检测 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]