Profile
International Journal of Computer & Software Engineering Volume 5 (2020), Article ID 5:IJCSE-155, 9 pages
https://doi.org/10.15344/2456-4451/2020/155
Research Article
Understanding Risk in Software Crowdsourcing: A Preliminary Taxonomy

Daiwei Yu1, Ye Yang2 and Yong Wang1*

1Department of Computer Science and Technology, Ocean University of China, Qingdao, China
2School of Systems and Enterprises, Stevens Institute of Technology, Hoboken NJ, USA
Dr. Yong Wang, Department of Computer Science and Technology, Ocean University of China, 238 Songling Rd, Laoshan Qu, Qingdao Shi, China; E-mail: wangyong@ouc.edu.cn
01 March 2020; 23 April 2020; 25 April 2020
Yu D, Yang Y, Wang Y (2020) Understanding Risk in Software Crowdsourcing: A Preliminary Taxonomy. Int J Comput Softw Eng 5: 155. doi: https://doi.org/10.15344/2456-4451/2020/155

Abstract

Software crowdsourcing (SC) is booming as a popular paradigm for rapid solution development. However, unique characteristics of this emerging paradigm, such as external resources and black-box nature of crowdsourced processes, introduce inherent risk to crowdsourcing. This paper aims at developing better understanding towards risk in SC. To that end, we conduct a literature review of 36 relevant articles, and propose a preliminary taxonomy of SC risk including 13 risk types. These 13 risk types are organized with a two-dimensional, processes vs. entities, structure. For each risk, its description and cause / consequence are introduced. Analysis of possible reasons and practical mitigation suggestions are also offered for crowdsourcing practitioners to better cope with risks. The preliminary results will help both requesters and platforms to be alert to risks by understanding them, so as to ensure the achievement of expected benefits of SC.