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

Dave Murray-Rust, Ognjen Scekic, Hong-Linh Truong, Dave Robertson, Schahram Dustdar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Today’s crowdsourcing systems are predominantly used for processing independent tasks with simplistic coordination. As such, they offer limited support for handling complex, intellectually and organizationally challenging labour types, such as software development. In order to support crowdsourcing of the software development processes, the system needs to enact coordination mechanisms which integrate human creativity with machine support. While workflows can be used to handle highly structured and predictable labour processes, they are less suitable for software development methodologies where unpredictability is an unavoidable part the process. This is especially true in phases of requirement elicitation and feature development, when both
the client and development communities change with time. In this paper we present models and techniques for coordination of human workers in crowdsourced software development environments. The techniques augment the existing Social Compute Unit (SCU) concept—a general framework for management of ad-hoc human worker teams—with versatile coordination
protocols expressed in the Lightweight Social Calculus (LSC). This approach allows us to combine coordination and quality constraints with dynamic assessments of software-user’s desires, while dynamically choosing appropriate software development coordination models.
Original languageEnglish
Title of host publicationCollaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2014 International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages10
Publication statusPublished - 2014


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