Volume 36, Number 4, August 2018
|Page(s)||800 - 806|
|Published online||24 October 2018|
A Reputation Assessment Approach Based on Fuzzy Mathematics Mobile Application Crowdsourced Testers
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
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
关键字 : 移动应用测试 / 众包测试 / 信誉度 / 模糊数学
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
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