TY - GEN
T1 - Competence, collaboration, and time management
T2 - 5th ACM/IEEE International Workshop on Crowd Sourcing in Software Engineering, CSI-SE 2018, in conjunction with the 40th International Conference on Software Engineering, ICSE 2018
AU - Zanatta, Alexandre Lazaretti
AU - Machado, Leticia
AU - Steinmacher, Igor
N1 - Funding Information:
In summary, we identified a set of barriers that hinder crowdworker contributions; and suggested a small set of recommendations to overcome these barriers. As any other empirical work, we have limitations and topics that remain for future work. As one limitation, our study concentrated on the most used competition-based crowdsourcing platform, and we cannot say that the behavior identified here will replicate in other platforms. We executed a qualitative study using interviews, which, potentially, has various limitations. In future work, we will apply other research methods to help us understanding the barriers in crowdsourcing software projects. Identifying suitable participants is always a difficult balance. In this case, software engineering students have been used, and they are very likely to be crowdworkers for software projects, but there is such a wide variety of profiles for potential crowdworkers that this will always be a limitation. Moreover, we intend to work with different types of challenges, platforms, and more participants to continue to identifying patterns, behaviors, and ways to improve the way crowdworkers contribute to CSD. Therefore, we conclude that the crowdworkers need competency and an efficient time management effort to take part collaboratively in tasks of the CBCSD of the Topcoder platform. ACKNOWLEDGMENTS The authors thank professor Rafael Prikladnicki for his insightful comments on drafts of this paper, the students and software engineering professionals who participated in the studies, professor Sabrina Marczak, Master Student Luis Vaz and thanks University of Passo Fundo and PUCRS for supporting this work. This project is partially funded by FAPERGS (project 17/2551-0001/205-4), CNPq (Grant #430642/2016-4); and FAPESP (Grant #2015/24527-3).
Publisher Copyright:
© 2018 ACM.
PY - 2018/5/27
Y1 - 2018/5/27
N2 - Software crowdsourcing development requires a continuous influx of crowdworkers for their continuity. Crowdworkers should be encouraged to play an important role in the online communities by being active members, but they face difficulties when attempting to participate. For this reason, in this paper, we investigated the difficulties that crowdworkers face in crowdsourcing software development platforms. To achieve this, we conducted a study relying on multiple data sources and research methods including literature review, peer review, field study, and procedures of grounded theory. We observed that crowdworkers face many barriers - related to competence, collaboration, and time management - when making their contributions in software crowdsourcing development, which can result in dropouts. The main contributions of this paper are: a) empirical identification of barriers faced by crowdsourcing software development crowdworkers, and b) recommendations on how to minimize the barriers.
AB - Software crowdsourcing development requires a continuous influx of crowdworkers for their continuity. Crowdworkers should be encouraged to play an important role in the online communities by being active members, but they face difficulties when attempting to participate. For this reason, in this paper, we investigated the difficulties that crowdworkers face in crowdsourcing software development platforms. To achieve this, we conducted a study relying on multiple data sources and research methods including literature review, peer review, field study, and procedures of grounded theory. We observed that crowdworkers face many barriers - related to competence, collaboration, and time management - when making their contributions in software crowdsourcing development, which can result in dropouts. The main contributions of this paper are: a) empirical identification of barriers faced by crowdsourcing software development crowdworkers, and b) recommendations on how to minimize the barriers.
KW - barriers
KW - crowd workers
KW - software crowdsourcing
UR - http://www.scopus.com/inward/record.url?scp=85051855812&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051855812&partnerID=8YFLogxK
U2 - 10.1145/3195863.3195869
DO - 10.1145/3195863.3195869
M3 - Conference contribution
AN - SCOPUS:85051855812
T3 - Proceedings - International Conference on Software Engineering
SP - 9
EP - 16
BT - Proceedings 2018 ACM/IEEE 5th International Workshop on Crowd Sourcing in Software Engineering, CSI-SE 2018
PB - IEEE Computer Society
Y2 - 27 May 2018
ER -