Impact of Personality on Task Selection in Crowdsourcing Software Development: A Sorting Approach

doi:10.1109/ACCESS.2017.2747660

	Impact of Personality on Task Selection in Crowdsourcing Software Development: A Sorting Approach
	Tunio, Muhammad Zahid 1; Luo, Haiyong 2; Cong, Wang 1; Fang, Zhao 1; Gilal, Abdul Rehman 3; Abro, Ahsanullah 3; Shao Wenhua 1
	2017
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	5 页码:18287-18294
摘要	Growing demand for software has attracted the attention of the software development industry. Crowdsourced software development has provided a new method for the software industry to produce quality software based on an open-call format. Selecting an appropriate task to develop (developer-end) or evaluate (platform-end) is one of the primary problems in this type of open-call format. Receiving or assigning an improper task to an improper crowdsource (CS) developer does not only decrease the quality of the software deliverables, but also causes overburden on both the platform and the developers. To solve this problem, sorting the tasks based on the developers' human characteristics may increase task relevancy for developers, which can accelerate efficiency and lessen complexity. Thus, this paper has conducted an empirical experiment to measure the influence of personality on task selection based on the important characteristics of a task: money, time, and type. A total of 83 students from the University of Sindh voluntarily participated in four different short-duration rounds of task development using the developed CS platform. The personality types of the participants were measured based on the Myers-Briggs type indicator. In addition, a complex network technique called weighted degree centrality was applied to identify the most suitable personality for task sorting based on money or complexity attractions (i.e., time or type). Based on the results, it can be observed that personality has a significant relationship with task selection. For instance, developers with intuitive (N) and feeling (F) personality traits are primarily focused on the time duration of a project.
关键词	Crowdsource software development personality types MBTI sorting
DOI	10.1109/ACCESS.2017.2747660
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61374214] ; National Key Research and Development Program[2016 YFB 0502004] ; Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000411791700036
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/6779
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tunio, Muhammad Zahid
作者单位	1.Beijing Univ Posts & Telecommun, Sch Software Engn, Beijing 100876, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 3.Sukkur IBA Univ, Dept Comp Sci, Sukkur Sindh 65200, Pakistan
推荐引用方式 GB/T 7714	Tunio, Muhammad Zahid,Luo, Haiyong,Cong, Wang,et al. Impact of Personality on Task Selection in Crowdsourcing Software Development: A Sorting Approach[J]. IEEE ACCESS,2017,5:18287-18294.
APA	Tunio, Muhammad Zahid.,Luo, Haiyong.,Cong, Wang.,Fang, Zhao.,Gilal, Abdul Rehman.,...&Shao Wenhua.(2017).Impact of Personality on Task Selection in Crowdsourcing Software Development: A Sorting Approach.IEEE ACCESS,5,18287-18294.
MLA	Tunio, Muhammad Zahid,et al."Impact of Personality on Task Selection in Crowdsourcing Software Development: A Sorting Approach".IEEE ACCESS 5(2017):18287-18294.