A Mobile Application Crowdsourced Testers Portrait Method Based on Behavior Analysis

被引：0

作者：

An, Gang ^{[1
]}

Zhang, Tao ^{[2
]}

Chen, Jing ^{[3
]}

机构：

[1] Xi'an Jiaotong University, Xi'an,710049, China

[2] Xi'an Northwes Tern PolytechnIcal University, Xi'an,710072, China

[3] Xi'an Technological University, Xi'an,710021, China

来源：

Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University | 2017年 / 35卷 / 06期

关键词：

Economic analysis - Mobile computing - Testing;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The mobile application crowdsourced test is non-contractua and anonymous. Therefore it is hard for its requester to select a suitable crowdsourced tester. To solve the problem, this paper uese histroical test data to analyze test experience, test perference and test ablity. Then it establishes a precise portrait model of the crowdsourced tester to help the requester to select the suitable crowdsourced tester and predict the test quality. The simulation results preliminarily verify the correctness and effectiveness of the portrait model. © 2017, Editorial Board of Journal of Northwestern Polytechnical University. All right reserved.

引用

页码：1083 / 1088