摘要
由于移动应用众包测试的非契约和匿名性,使得移动应用测试发包方难以选择适合的众包测试人员。为此,试图依据历史测试数据,分析其测试经验、偏好、能力行为特征,构建众包测试人员的精确画像模型,帮助发包方选择适合的众包测试人员,保证测试质量。仿真实验结果验证了画像模型的正确性和有效性。
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.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2017年第6期1083-1088,共6页
Journal of Northwestern Polytechnical University
基金
陕西省科技攻关计划(2016GY-100)
航天科技支撑计划(2014HTXGD)
西安市科技计划
上海航天科技创新基金与航天支撑技术基金资助
关键词
移动应用测试
众包测试
人员画像
行为分析
computer simulation
design of experiments
economic analysis
mathematical models
historical tetst data
behavior analysis
crowdsourced tester
matching of requester and tester
mobile application test
non-contractual anonymity
portrait model of tester
