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Research on factors affecting quality of mobile application crowdsourced testing
CHENG Jing, GE Luqi, ZHANG Tao, LIU Ying, ZHANG Yifei
Journal of Computer Applications    2018, 38 (9): 2626-2630.   DOI: 10.11772/j.issn.1001-9081.2018030575
Abstract633)      PDF (807KB)(325)       Save
To solve the problem that the influencing factors of crowdsourced testing are complex and diverse, and the test quality is difficult to assess, a method for analyzing the quality influencing factors based on Spearman correlation coefficient was proposed. Firstly, the potential quality influencing factors were obtained through the analysis of test platforms, tasks, and testers. Secondly, Spearman correlation coefficient was used to calculate the correlation degrees between potential factors and test quality and to screen out key factors. Finally, the multiple stepwise regression was used to establish a linear evaluation relationship between key factors and test quality. The experimental results show that compared with the traditional expert artificial evaluation method, the proposed method can maintain smaller fluctuations in evaluation error when facing a large number of test tasks. Therefore, the method can accurately screen out the key influencing factors of mobile application crowdsourced test quality.
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