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论文:2018,Vol:36,Issue(4):800-806 |
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引用本文： |
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成静, 薛峰, 张逸飞, 张涛, 马春燕. 移动应用众包测试人员信誉度的模糊评估方法研究[J]. 西北工业大学学报 |
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Cheng Jing, Xue Feng, Zhang Yifei, Zhang Tao, Ma Chunyan. A Reputation Assessment Approach Based on Fuzzy Mathematics Mobile Application Crowdsourced Testers[J]. Northwestern polytechnical university |
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| 移动应用众包测试人员信誉度的模糊评估方法研究 |
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| 成静1, 薛峰2, 张逸飞3, 张涛2, 马春燕2 |
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1. 西安工业大学 计算机科学与工程学院, 陕西 西安 710021;
2. 西北工业大学 软件与微电子学院, 陕西 西安 710072;
3. 西北工业大学 计算机学院, 陕西 西安 710072 |
| 摘要: |
| 移动应用众包测试因众包模式的匿名性和无监督性，使得移动应用测试人员容易对测试任务产生懈怠或有意欺骗行为，致使众包测试质量的下降。针对该问题，提出一种基于模糊数学的移动应用众包测试人员信誉度评估方法以衡量测试人员的信誉水平。此方法的特点在于紧密结合众包测试的特性，通过引入测试人员评价机制，构建信誉度评估模型并研究信誉度在众包测试过程中的计算与更新算法，以实现对众包测试人员信誉度的合理评估，有效选拔出高信誉测试人员，保证移动应用众包测试质量。 |
| 关键词:
移动应用测试
众包测试
信誉度
模糊数学
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| A Reputation Assessment Approach Based on Fuzzy Mathematics Mobile Application Crowdsourced Testers |
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| Cheng Jing1, Xue Feng2, Zhang Yifei3, Zhang Tao2, Ma Chunyan2 |
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1. School of Computer Science and Engineering, Xi'an Technological University, Xi'an 710021, China;
2. School of Software and Microelectronics, Northwestern Polytechnical University, Xi'an 710072, China;
3. School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| The anonymity and unsupervision of mobile application crowdsourced testing, makes the tester easy to slacken or cheat on test tasks, resulting in a drop in the quality of crowdsourced testing. To solve the problem, this paper proposes a method for assessing the reputation of a mobile application crowdsourced testers based on fuzzy mathematics. This method closely integrates crowdsourced testing features. By introducing a tester evaluation mechanism, building a reputation assessment model and studying the calculation and update of reputation in the crowdsourced testing, it achieves a reasonable assessment of the reputation of a crowdsourced tester and can effectively screen out high reputation testers, thus ensuring the quality of mobile application crowdsourced testing. |
| Key words:
mobile application testing
crowdsourced testing
reputation
fuzzy mathematics
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| 收稿日期: 2017-05-28
修回日期:
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| DOI: |
| 基金项目: 2017年西安市科技计划项目（XAGY016）资助 |
| 通讯作者:
Email： |
| 作者简介: 成静(1982-),西安工业大学讲师、博士,主要从事移动应用测试、众包测试及智能测试研究。
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| 相关功能 |
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| 作者相关文章 |
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| 成静 在本刊中的所有文章 |
| 薛峰 在本刊中的所有文章 |
| 张逸飞 在本刊中的所有文章 |
| 张涛 在本刊中的所有文章 |
| 马春燕 在本刊中的所有文章 |
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参考文献: |
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[1] Leicht N, Blohm I, Leimeister J M. Leveraging the Power of the Crowd for Software Testing[J]. IEEE Trans on Software, 2017, 34(2):62-69
[2] Zhang T, Gao J, Cheng J. Crowdsourced Testing Services for Mobile Apps[C]//Proceedings of the 2017 IEEE International Symposium on Service-Oriented System Engineering, 2017:132-137
[3] Peer E, Vosgerau J, Acquisti A. Reputation as a Sufficient Condition for Data Quality on Amazon Mechanical Turk[J]. Behavior Research Methods, 2014, 46(4):1-9
[4] Ye B, Wang Y, Liu L. Crowd Defense:A Turst Vector-Based Threat Defense Model in Crowdsourcing Environments[C]//Proceedings of the 2017 IEEE International Conference on Web Services, 2017:245-252
[5] Lee S, Park S, Park S. A Quality Enhancement of Crowdsourcing Based on Quality Evaluation and User-Level Task Assignment Framework[J]. Applied Mathematics & Information Sciences, 2014, 9(2):60-65 |
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相关文献: |
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1．安刚, 张涛, 成静.基于行为分析的移动应用众包测试人员画像方法研究[J]. 西北工业大学学报, 2017,35(6): 1083-1088 |
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