Collaborative Behavior and Winning Challenges in Competitive Software Crowdsourcing

Author:

Machado Leticia S.1,Melo Ricardo Rodrigo M.2,de Souza Cleidson R. B.1,Prikladnicki Rafael3

Affiliation:

1. Universidade Federal do Pará, Belem, Brazil

2. Universidade Federal do Pará, Belém, Brazil

3. Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

Abstract

Software Crowdsourcing (SW CS) allows a requester to increase the speed of its software development efforts by submitting a task to be performed by the crowd. SW CS is usually structured around software platforms, which are used by crowd members to identify a task suited for them, gather information about this task, and finally, submit a solution for it. In competitive software crowdsourcing, members of the crowd independently create solutions while competing against each other by monetary rewards for task completion. While competition usually reduces collaboration, in this paper, we investigated how crowd members create a collaborative behavior during programming challenges using online forums to help each other, share useful information, and discuss important documents and artifacts. We also investigated different collaborative behaviours by crowd members and and how this collaboration is associated with crowd members' improved outcome in the challenges. These results are based on analysis of the online forums from Topcoder, one of the largest competitive SW CS platforms

Funder

CNPq

FAPERGS

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

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1. Success Prediction of Crowdsourced Projects for Competitive Crowdsourced Software Development;Applied Sciences;2024-01-05

2. Reputation aware optimal team formation for collaborative software crowdsourcing in industry 5.0;Journal of King Saud University - Computer and Information Sciences;2023-09

3. CoSINT: Designing a Collaborative Capture the Flag Competition to Investigate Misinformation;Proceedings of the 2023 ACM Designing Interactive Systems Conference;2023-07-10

4. Positioning in a collaboration network and performance in competitions: a case study of Kaggle;Journal of Computer-Mediated Communication;2023-06-12

5. Application of 3D Intelligent Design and OpenGL in Modern Film and Television Advertising;2022 3rd International Conference on Smart Electronics and Communication (ICOSEC);2022-10-20

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