{"title":"用户引导自动化测试移动应用程序","authors":"Xiujiang Li, Yanyan Jiang, Yepang Liu, Chang Xu, Xiaoxing Ma, Jian Lu","doi":"10.1109/APSEC.2014.13","DOIUrl":null,"url":null,"abstract":"Mobile devices are gradually taking over traditional computers' dominance in human lives. With the ever-increasing shipment of mobile apps running on these devices, their quality issues become a severe challenge. Although automated testing techniques are being widely studied, they mostly fall short of handling mobile apps' complex interactions, e.g., A finger swipe or device shaking gesture, leading to inadequate testing. In this paper, we present a novel User Guided Automation (UGA) technique to address testing challenges incurred by such complex interactions. UGA exploits user insights to complement automated testing techniques by recording user-guided app executions, replaying apps to certain stop points, and systematically exploring state space from these stop points. We implemented our work as a prototype UGA tool on Android platform and evaluated it on seven real-world Android apps. Evaluation results show that UGA achieved 1.59-21.78× improvement in terms of method coverage over state-of-the-art automated techniques in testing mobile apps.","PeriodicalId":380881,"journal":{"name":"2014 21st Asia-Pacific Software Engineering Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"User Guided Automation for Testing Mobile Apps\",\"authors\":\"Xiujiang Li, Yanyan Jiang, Yepang Liu, Chang Xu, Xiaoxing Ma, Jian Lu\",\"doi\":\"10.1109/APSEC.2014.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile devices are gradually taking over traditional computers' dominance in human lives. With the ever-increasing shipment of mobile apps running on these devices, their quality issues become a severe challenge. Although automated testing techniques are being widely studied, they mostly fall short of handling mobile apps' complex interactions, e.g., A finger swipe or device shaking gesture, leading to inadequate testing. In this paper, we present a novel User Guided Automation (UGA) technique to address testing challenges incurred by such complex interactions. UGA exploits user insights to complement automated testing techniques by recording user-guided app executions, replaying apps to certain stop points, and systematically exploring state space from these stop points. We implemented our work as a prototype UGA tool on Android platform and evaluated it on seven real-world Android apps. Evaluation results show that UGA achieved 1.59-21.78× improvement in terms of method coverage over state-of-the-art automated techniques in testing mobile apps.\",\"PeriodicalId\":380881,\"journal\":{\"name\":\"2014 21st Asia-Pacific Software Engineering Conference\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 21st Asia-Pacific Software Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSEC.2014.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 21st Asia-Pacific Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSEC.2014.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile devices are gradually taking over traditional computers' dominance in human lives. With the ever-increasing shipment of mobile apps running on these devices, their quality issues become a severe challenge. Although automated testing techniques are being widely studied, they mostly fall short of handling mobile apps' complex interactions, e.g., A finger swipe or device shaking gesture, leading to inadequate testing. In this paper, we present a novel User Guided Automation (UGA) technique to address testing challenges incurred by such complex interactions. UGA exploits user insights to complement automated testing techniques by recording user-guided app executions, replaying apps to certain stop points, and systematically exploring state space from these stop points. We implemented our work as a prototype UGA tool on Android platform and evaluated it on seven real-world Android apps. Evaluation results show that UGA achieved 1.59-21.78× improvement in terms of method coverage over state-of-the-art automated techniques in testing mobile apps.