检测软件开发团队的功能互动结构
Christian Zingg1, Alexander von Gernler2, Carsten Arzig2
1Chair of Systems Design, ETH Zurich, Zurich, Switzerland.
PloS one
|October 24, 2024
概括
本研究介绍了一种数据驱动的方法,利用日常工作轨迹绘制软件团队交互结构的地图. 它帮助团队理解和改善知识传播和整体绩效.
科学领域:
- 软件工程 软件工程 软件工程
- 团队动力学 团队动力学
- 组织行为 组织行为
背景情况:
- 了解团队功能互动结构对于优化软件开发至关重要.
- 现有的方法往往缺乏对实时团队互动的数据驱动洞察力.
- 识别交互模式可以揭示改善协作和知识共享的机会.
研究的目的:
- 提出一种新的数据驱动方法来检测软件开发团队的功能互动结构.
- 根据日常工作轨迹量化和评估团队互动偏好.
- 为改善团队绩效和知识传播提供见解.
主要方法:
- 利用开发平台的痕迹来捕捉成员的活动.
- 记载团队成员之间的不同活动水平.
- 采用一个受区块限制的配置模型来计算基于角色的交互偏好.
主要成果:
- 成功提取了一个软件产品团队的功能互动结构.
- 通过会员采访验证了检测到的结构的准确性.
- 展示了将团队结构与基准进行比较以确定改进领域的能力.
结论:
- 提出的方法提供了一种有效的实时方法来分析和管理团队互动结构.
- 量化功能互动有助于理解团队动态和提高绩效.
- 这种技术可以确定在开发团队内改善知识传播的特定领域.
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