| Testing and Evaluation for Web Usability Based on Extended Markov Chain Model |
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| 引用本文： | MAOCheng-ying LUYan-sheng. Testing and Evaluation for Web Usability Based on Extended Markov Chain Model[J]. 武汉大学学报:自然科学英文版, 2004, 9(5): 687-693. DOI: 10.1007/BF02831664 |
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| 作者姓名： | MAOCheng-ying LUYan-sheng |
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| 作者单位： | CollegeofComputerScienceandTechnology,HuazhongUniversityofScienceandTechnology.Wuhan430074.Hubei.China |
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| 基金项目： | theNationalDefenceResearchProject(No.41315.9.2)andNationalScienceandTechnologyPlan(2001BA102A040203) |
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| 摘 要： | As the increasing popularity and complexity of Web applications and the emergence of their new characteristics. the testing and maintenance of large, complex Web applications are becoming more complex and difficult. Web applications generally contain lots of pages and are used by enormous users. Statistical testing is an effective way of ensuring their quality. Web usage can be accurately described by Markov chain which has been proved to be an ideal model for software statistical testing. The results of unit testing can b eutilized in the latter stages, wbich is an important strategy for bottom-to-top integration testing, and the other improvement of extended Markov chain model (FMM) is to present the error type vector which is treated as a part of page node. This paper also proposes the algorithm for generating test cases of usage paths. Finally, optional usage reliability evaluation methods and an incremental usability regression testing model for testing and evaluation are presented.
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| 关 键 词： | Web 马尔可夫链模型 统计学测试 评估 软件适用性 |
| 收稿时间： | 2004-06-15 |
Testing and evaluation for Web usability based on extended Markov chain model |
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| Mao Cheng-ying,Lu Yan-sheng. Testing and evaluation for Web usability based on extended Markov chain model[J]. Wuhan University Journal of Natural Sciences, 2004, 9(5): 687-693. DOI: 10.1007/BF02831664 |
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| Authors: | Mao Cheng-ying Lu Yan-sheng |
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| Affiliation: | (1) College of Computer Science and Technology, Huazhong, University of Science and Technology, 430074 Wuhan, Hubei, China |
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| Abstract: | As the increasing popularity and complexity of Web applications and the emergence of their new characteristics, the testing and maintenance of large, complex Web applications are becoming more complex and difficult. Web applications generally contain lots of pages and are used by enormous users. Statistical testing is an effective way of ensuring their quality. Web usage can be accurately described by Markov chain which has been proved to be an ideal model for software statistical testing. The results of unit testing can be utilized in the latter stages, which is an important strategy for bottom-to-top integration testing, and the other improvement of extended Markov chain model (EMM) is to present the error type vector which is treated as a part of page node. This paper also proposes the algorithm for generating test cases of usage paths. Finally, optional usage reliability evaluation methods and an incremental usability regression testing model for testing and evaluation are presented. |
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| Keywords: | statistical testing evaluation for Web usability extended Markov chain model (EMM) Web log mining reliability evaluation |
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