Iterative Android automated testing  

作　　者：Yi ZHONG Mengyu SHI Youran XU Chunrong FANG Zhenyu CHEN 

机构地区：[1]State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210093,China [2]School of Big Data and Computer Science,Chongqing College of Mobile Communication,Chongqing 400065,China

出　　处：《Frontiers of Computer Science》2023年第5期15-26,共12页中国计算机科学前沿（英文版）

基　　金：supported in part by the National Natural Science Foundation of China(Grant No.62141215);the National Key R&D Program of China:R&D and Application of Integrated Crowdsourcing Test Service Platform for Information Products and Technology Services(2018YFB1403400);the Science,Technology and Innovation Commission of Shenzhen Municipality(CJGJZD20200617103001003).

摘　　要：With the benefits of reducing time and workforce,automated testing has been widely used for the quality assurance of mobile applications(APPs).Compared with automated testing,manual testing can achieve higher coverage in complex interactive Activities.And the effectiveness of manual testing is highly dependent on the user operation process(UOP)of experienced testers.Based on the UOP,we propose an iterative Android automated testing(IAAT)method that automatically records,extracts,and integrates UOPs to guide the test logic of the tool across the complex Activity iteratively.The feedback test results can train the UOPs to achieve higher coverage in each iteration.We extracted 50 UOPs and conducted experiments on 10 popular mobile APPs to demonstrate IAAT’s effectiveness compared with Monkey and the initial automated tests.The experimental results show a noticeable improvement in the IAAT compared with the test logic without human knowledge.Under the 60 minutes test time,the average code coverage is improved by 13.98%to 37.83%,higher than the 27.48%of Monkey under the same conditions.

关 键 词：quality assurance automated testing UOP test coverage 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]