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.
| Translated title of the contribution | A Reputation Assessment Approach Based on Fuzzy Mathematics Mobile Application Crowdsourced Testers |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 800-806 |
| Number of pages | 7 |
| Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
| Volume | 36 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Aug 2018 |