A Collaboration Model for Community-Based Software Development with Social Machines

Dave Murray-Rust, Ognjen Scekic, Petros Papapanagiotou, Hong-linh Truong, David Robertson, Schahram Dustdar

Research output: Contribution to journalArticlepeer-review

Abstract

Crowd sourcing is generally used for tasks with minimal coordination, providing limited support for dynamic reconfiguration. Modern systems, exemplified by social machines, are subject to continual flux in both the client and development communities and their needs. To support crowd sourcing of open-ended development, systems must dynamically integrate human creativity with machine support. While workflows can be used to handle structured, predictable processes, they are less suitable for social machine development and its attendant uncertainty. We present models and techniques for coordination of human workers in crowd sourced software development environments. We combine the Social Compute Unit—a model of ad-hoc human worker teams—with versatile coordination protocols expressed in the Lightweight Social Calculus. This allows us to combine coordination and quality constraints with dynamic assessments of end-user desires, dynamically discovering and applying development protocols.
Original languageEnglish
Number of pages13
JournalEAI Endorsed Transactions on Collaborative Computing
Volume1
Issue number5
DOIs
Publication statusPublished - 17 Dec 2015

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