移动应用众包测试人员信誉度的模糊评估方法研究  

A Reputation Assessment Approach Based on Fuzzy Mathematics Mobile Application Crowdsourced Testers

作　　者：成静[1] 薛峰 张逸飞 张涛[2] 马春燕[2] Cheng Jing;Xue Feng;Zhang Yifei;Zhang Tao;Ma Chunyan(School of Computer Science and Engineering,Xi＇an Technological University,Xi＇an 710021,China;School of Software and Microelectronics,Northwestern Polytechnical University,Xi＇ an 710072,China;School of Computer Science,Northwestern Polytechnical University,Xi＇an 710072,China)

机构地区：[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

出　　处：《西北工业大学学报》2018年第4期800-806,共7页Journal of Northwestern Polytechnical University

基　　金：2017年西安市科技计划项目(XAGY016)资助

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。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 mecha- nism, 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.

关 键 词：移动应用测试 众包测试 信誉度 模糊数学 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]