Paper Info
Title
Network structure and requirements crowdsourcing for OSS projects
Abstract
Crowdsourcing system requirements enables project managers to elicit feedback from a broader range of stakeholders. The advantages of crowdsourcing include a higher volume of requirements reflecting a more comprehensive array of use cases and a more engaged and committed user base. Researchers cite the inability of project teams to effectively manage an increasing volume of system requirements as a possible drawback. This paper analyzes a data set consisting of project management artifacts from 562 open-source software (OSS) projects to determine how OSS project performance varies as the share of crowdsourced requirements increases using six measures of effectiveness: requirement close-out time, requirement response time, average comment activity, the average number of requirements per crowd member, the average retention time for crowd members, and the total volume of requirements. Additionally, the models measure how the impact of increasing the share of crowdsourced requirements changes with stakeholder network structure. The analysis shows that stakeholder network structure impacts OSS performance outcomes and that the effect changes with the share of crowdsourced requirements. OSS projects with more concentrated stakeholder networks perform the best. The results indicate that requirements crowdsourcing faces diminishing marginal returns. OSS projects that crowdsource more than 70% of their requirements benefit more from implementing processes to organize and prioritize existing requirements than from incentivizing the crowd to generate additional requirements. Analysis in the paper also suggests that OSS projects could benefit from employing CrowdRE techniques and assigning dedicated community managers to more effectively channel input from the crowd.
Year
DOI
Venue
2021
10.1007/s00766-021-00353-5
Requirements Engineering
Keywords
DocType
Volume
CrowdRE, Crowdsourcing, Collaborative requirements elicitation, Stakeholder networks, Stakeholder analysis
Journal
26
Issue
ISSN
Citations 
4
0947-3602
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Matthew Robinson100.34
Shahram Sarkani215127.80
Thomas A. Mazzuchi323636.86