移动应用众包测试质量影响因素分析

doi:10.11772/j.issn.1001-9081.2018030575

计算机应用 ›› 2018, Vol. 38 ›› Issue (9): 2626-2630.DOI: 10.11772/j.issn.1001-9081.2018030575

移动应用众包测试质量影响因素分析

成静¹, 葛璐琦², 张涛², 刘莹², 张逸飞³

1. 西安工业大学计算机科学与工程学院, 西安 710021;
2. 西北工业大学软件与微电子学院, 西安 710072;
3. 西北工业大学计算机学院, 西安 710068

收稿日期:2018-03-21 修回日期:2018-04-23 发布日期:2018-09-06 出版日期:2018-09-10
通讯作者: 成静
作者简介:成静(1982—),女,陕西西安人,讲师,博士,主要研究方向:软件测试;葛璐琦(1994—),女,陕西西安人,硕士研究生,主要研究方向:软件安全性、移动应用测试;张涛(1976—),男,陕西宝鸡人,副教授,博士,主要研究方向:软件安全性、移动应用测试;刘莹(1996—),女,四川绵阳人,硕士研究生,主要研究方向:移动应用测试、众包测试;张逸飞(1993—),男,陕西西安人,硕士研究生,主要研究方向:软件建模、分析、测试、调试技术,图形处理。
基金资助:
陕西省工业科技攻关项目（2016GY-100）；西安市科技计划项目（XAGY016）；陕西省教育厅科研计划项目。

Research on factors affecting quality of mobile application crowdsourced testing

CHENG Jing¹, GE Luqi², ZHANG Tao², LIU Ying², ZHANG Yifei³

1. School of Computer Science and Engineering, Xi'an Technological University, Xi'an Shaanxi 710021, China;
2. College of Software and Microelectronics, Northwestern Polytechnical University, Xi'an Shaanxi 710072, China;
3. School of Computer Science, Northwestern Polytechnical University, Xi'an Shaanxi 710068, China

Received:2018-03-21 Revised:2018-04-23 Online:2018-09-06 Published:2018-09-10
Contact: 成静
Supported by:
This work is partially supported by the Industrial Science and Technology Research Project of Shaanxi Province (2016GY-100), the Xi'an Science and Technology Project (XAGY016), the Research Program of Shaanxi Education Department.

摘要/Abstract

摘要： 针对移动应用众包测试质量影响因素复杂多样致使测试质量难以评估的问题，提出一种基于皮斯尔曼相关系数分析的质量影响因素分析方法。首先，通过对测试平台、任务、人员三方面的分析获取潜在质量影响因素；然后，利用斯皮尔曼相关系数分析法计算潜在因素与测试质量的关联程度并筛选出强关联因素；最后，通过多元逐步回归法建立强关联因素与测试质量间的线性评价关系。实验结果表明，与传统专家人工评价方式相比，所提方法在面向大量测试任务质量评价时，能够保持更小的评价误差波动，可以准确地筛选出移动应用众包测试质量关键影响因素。

关键词: 移动应用众包测试, 质量影响因素, 斯皮尔曼相关系数, 逐步回归法

Abstract: 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.

Key words: mobile application crowdsourced testing, quality influencing factor, Spearman correlation coefficient, stepwise regression

中图分类号:

TP301.4

成静, 葛璐琦, 张涛, 刘莹, 张逸飞. 移动应用众包测试质量影响因素分析[J]. 计算机应用, 2018, 38(9): 2626-2630.

CHENG Jing, GE Luqi, ZHANG Tao, LIU Ying, ZHANG Yifei. Research on factors affecting quality of mobile application crowdsourced testing[J]. Journal of Computer Applications, 2018, 38(9): 2626-2630.

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移动应用众包测试质量影响因素分析

Research on factors affecting quality of mobile application crowdsourced testing

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