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 - 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 -