| 规则驱动的Android应用DFS测试技术 |
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| 引用本文： | 叶佳,葛红军,曹春,朱晋,张营.规则驱动的Android应用DFS测试技术[J].计算机科学,2018,45(9):99-103, 118. |
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| 作者姓名： | 叶佳 葛红军 曹春 朱晋 张营 |
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| 作者单位： | 中兴通讯股份有限公司终端事业部 南京210012,南京大学计算机科学与技术系 南京210046,南京大学计算机科学与技术系 南京210046,中兴通讯股份有限公司终端事业部 南京210012,南京大学计算机科学与技术系 南京210046 |
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| 基金项目： | 本文受中兴通讯研究基金资助 |
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| 摘 要： | GUI自动化测试是Android应用研究领域的重要组成部分,针对Android应用的GUI测试技术得到了广泛的研究。其中,基于DFS算法的GUI遍历测试技术得到了广泛的应用。然而,现有的DFS测试技术却仍然具有效率低下、覆盖率较低的问题。文中提出了结合外部预定义规则来驱动DFS自动化遍历的改进方法,以提高DFS自动化遍历的效率和覆盖率；基于规则驱动的改进方法实现了RDTA测试工具,进行了与Monkey以及无规则驱动下的DFS的对比实验,验证了该方法的有效性。
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| 关 键 词： | Android测试 DFS 规则驱动 测试效率 覆盖率 |
| 收稿时间： | 2017/12/15 0:00:00 |
| 修稿时间： | 2018/1/15 0:00:00 |
Rule-driven DFS Testing Technology for Android Application |
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| YE Ji,GE Hong-jun,CAO Chun,ZHU Jin and ZHANG Ying.Rule-driven DFS Testing Technology for Android Application[J].Computer Science,2018,45(9):99-103, 118. |
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| Authors: | YE Ji GE Hong-jun CAO Chun ZHU Jin and ZHANG Ying |
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| Affiliation: | Terminal Business Division,ZTE Corporation,Nanjing 210012,China,Department of Computer Science and Technology,Nanjing University,Nanjing 210046,China,Department of Computer Science and Technology,Nanjing University,Nanjing 210046,China,Terminal Business Division,ZTE Corporation,Nanjing 210012,China and Department of Computer Science and Technology,Nanjing University,Nanjing 210046,China |
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| Abstract: | Automated GUI testing is the important part of Android application research field.Several technologies for automated Android GUI testing have attracted wide attention.Testing technology based on DFS exploration has been extensively used among them.However,the existing DFS testing technology is still inefficient and has low testing co-verage.This paper proposed an improved approach by driving the DFS automated exploration with external predefined rules to improve the efficiency and coverage.A testing tool called RDTA based on the proposed approach was implemented and the performance of RDTA was evaluated by comparing to Monkey and original DFS without rules.The result verifies the effectiveness of the approach. |
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| Keywords: | Android testing DFS Rule-driven Test efficiency Coverage |
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