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论文:2015,Vol:33,Issue(3):512-515 |
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引用本文： |
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张涛, 周文强, 李坤, 王海鹏, 成静. 一种基于K-Mean算法的移动应用兼容性测试方法[J]. 西北工业大学学报 |
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Zhang Tao, Zhou Wenqiang, Li Kun, Wang Haipeng, Cheng Jing. Selecting Mobile Devices for Mobile Compatibility Testing Using K-Mean Algorithm[J]. Northwestern polytechnical university |
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| 一种基于K-Mean算法的移动应用兼容性测试方法 |
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| 张涛, 周文强, 李坤, 王海鹏, 成静 |
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| 西北工业大学 软件与微电子学院, 陕西 西安 710072 |
| 摘要: |
| 随着移动应用市场的快速发展,移动应用兼容性测试问题日显突出和紧迫。本文提出了一种基于K-Mena算法的移动应用兼容性测试设备选择方法。该方法首先建立移动应用兼容性测试设备的特征树模型,确定各个基本特征的测试值,定义初始K值和中心点。然后给出一种基于设备特征树模型的特征距离计算方法。最后基于K-Mean聚类算法,对移动设备进行聚类,从各个聚类中选择适合的移动应用兼容性测试设备。通过实例进行验证分析,结果表明该方法能够帮助测试人员选择适合的测试设备,从而降低测试成本,提高测试效率和测试质量。 |
| 关键词:
移动应用
兼容性测试
K-Mean聚类算法
特征树模型
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| Selecting Mobile Devices for Mobile Compatibility Testing Using K-Mean Algorithm |
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| Zhang Tao, Zhou Wenqiang, Li Kun, Wang Haipeng, Cheng Jing |
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| Department of Software Engineering, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| With the rapid development of mobile application's market, mobile application compatibility testing has become a most prominent and urgent problem. We propose a systematic method of selecting adaptive mobile devices for mobile application compatibility testing; it is based on K-mean algorithm. Firstly, the compatibility feature tree model of mobile application is constructed, and every leaf node of feature tree is set some testing values by experience. So initial value of K and cluster centers are set. Secondly, a layered and recursive algorithm is described for calculating feature distance between mobile devices. Thirdly, all mobile devices can be clustered automatically with K-mean algorithm, and testing devices can be selected from different clusters according to popularity market share of devices. Finally we test two selected mobile applications with proposed method, proving that the method is effective in selecting mobile devices for compatibility testing of mobile applications. |
| Key words:
algorithms
calculations
cameras
clustering algorithms
global positioning system
mathematical models
mobile devices
optical resolving power
pixels
wireless local area networks(WLAN)
compatibility testing
K-mean clustering algorithm
mobile application
mobile devices feature tree
test coverage.
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| 收稿日期: 2015-01-08
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(61103003)与航天科技支撑计划(2014HTXGO)资助 |
| 通讯作者:
Email： |
| 作者简介: 张涛(1976—),西北工业大学副教授、博士,主要从事移动云测试、软件安全性技术以嵌入式软件技术研究。
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| 相关功能 |
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| 作者相关文章 |
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| 张涛 在本刊中的所有文章 |
| 周文强 在本刊中的所有文章 |
| 李坤 在本刊中的所有文章 |
| 王海鹏 在本刊中的所有文章 |
| 成静 在本刊中的所有文章 |
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参考文献: |
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[1] Adrian Holzera, Jan Ondrusb. Mobile Application Market: A Developer's Perspective[J]. Telematics and Informatics, 2014, 28(1): 22-31
[2] Kakkar K, SNMC Kakkar M. Risk Analysis in Mobile Application Development[C]//Proceedings of 4th International Conference on the Next Generation Information Technology, Noida, 2013: 26-27
[3] Gao J, Bai X, Tsai W T, Uehara T. Mobile Application Testing: a Tutorial[J]. IEEE Computer, FEBRUARY, 2014: 4-5
[4] Gao Jerry, Tsai Weitek, Paul Ray, Bai Xiaoying, Uehara Tadahiro. Mobile Testing-as-a-Service (MTaaS)——Infrastructures, Issues, Solutions and Needs[C]//Proceeding of 2014 IEEE 15th International Symposium on High-Assurance Systems Engineering (HASE), Miami Beach, FL, 2014: 158-167 |
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