首页> 外文会议>2016 IEEE/ACM 38th IEEE International Conference on Software Engineering Companion >How Surveys, Tutors and Software Help to Assess Scrum Adoption in a Classroom Software Engineering Project
【24h】

How Surveys, Tutors and Software Help to Assess Scrum Adoption in a Classroom Software Engineering Project

机译:调查,导师和软件如何帮助评估教室软件工程项目中的Scrum采用率

获取原文
获取原文并翻译 | 示例

摘要

Agile methods are best taught in a hands-on fashion in realistic projects. The main challenge in doing so is to assess whether students apply the methods correctly without requiring complete supervision throughout the entire project. This paper presents experiences from a classroom project where 38 students developed a single system using a scaled version of Scrum. Surveys helped us to identify which elements of Scrum correlated most with student satisfaction or posed the biggest challenges. These insights were augmented by a team of tutors, which accompanied main meetings throughout the project to provide feedback to the teams, and captured impressions of method application in practice. Finally, we performed a post-hoc, tool-supported analysis of collaboration artifacts to detect concrete indicators for anti-patterns in Scrum adoption. Through the combination of these techniques we were able to understand how students implemented Scrum in this course and which elements require further lecturing and tutoring in future iterations. Automated analysis of collaboration artifacts proved to be a promising addition to the development process that could potentially reduce manual efforts in future courses and allow for more concrete and targeted feedback, as well as more objective assessment.
机译:最好在实际项目中以动手方式教授敏捷方法。这样做的主要挑战是评估学生是否正确应用了方法,而无需在整个项目中进行全面监督。本文介绍了一个课堂项目的经验,其中38名学生使用Scrum的缩放版本开发了一个系统。调查帮助我们确定了Scrum的哪些元素与学生满意度最相关或构成了最大的挑战。团队中的导师加强了这些见解,他们伴随整个项目的主要会议向团队提供反馈,并获得了实践中方法应用的印象。最后,我们对协作工件进行了事后,工具支持的分析,以检测采用Scrum的反模式的具体指标。通过这些技术的结合,我们能够了解学生如何在本课程中实施Scrum,以及在以后的迭代中需要进一步讲授和辅导的元素。事实证明,对协作工件的自动分析是开发过程的有希望的补充,它可以潜在地减少将来课程中的人工工作,并允许更具体,更有针对性的反馈以及更客观的评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号