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  • 标题:Scrum Watch: a tool for monitoring the performance of Scrum-based work teams
  • 本地全文:下载
  • 作者:Florencia Vega ; Guillermo Rodríguez ; Fabio Rocha
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2022
  • 卷号:28
  • 期号:1
  • 页码:98-117
  • DOI:10.3897/jucs.67593
  • 语种:English
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:Agile Methods propose an approach for developing software based on an iterative and incremental life cycle model, in which needs and solutions evolve through collaboration between multi-functional and self-organized teams. As such, agile practices in work teams are gaining much momentum. To meet the demanding level of projects, agile software development also has to keep up with several challenges. In this context, software industry has chosen to use several tools to ease development and communication between different teams’ members. However, these tools generate overwhelming volumes of data that hamper decision-making by project managers. To address this issue, we present Scrum Watch, a tool-based approach that focuses on generating, through cloud-based technologies, graphic elements and reports that assist project managers with information to support decision making. Results obtained from an undergraduate Systems Engineering course through a capstone project confirm the feasibility of the proposed approach, which exploits the benefits of the availability and visualization of process and product metrics.
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