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A collaboration model for community-based Software Development with social machines

机译:使用社交机进行基于社区的软件开发的协作模型

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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.
机译:当今的众包系统主要用于通过简单的协调来处理独立任务。因此,它们为处理复杂的,智力上和组织上具有挑战性的劳动力类型(例如软件开发)提供有限的支持。为了支持软件开发过程的众包,系统需要制定将人的创造力与机器支持集成在一起的协调机制。尽管工作流可用于处理结构化且可预测的人工流程,但它们不适用于不可预测性是流程不可避免的一部分的软件开发方法。当客户和开发社区都随时间变化时,在需求启发和功能开发阶段尤其如此。在本文中,我们介绍了在众包软件开发环境中用于协调人员的模型和技术。该技术利用轻量级社会演算(LSC)中表达的多功能协调协议,增强了现有的社会计算单元(SCU)概念(用于管理临时人员团队的通用框架)。这种方法使我们能够将协调和质量约束与对软件用户需求的动态评估相结合,同时动态地选择适当的软件开发协调模型。

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