论文标题
项目跟踪的数据分析和可视化技术：Itlingo-Cloud平台的体验
Data analysis and visualization techniques for project tracking: Experiences with the ITLingo-Cloud Platform
论文作者
论文摘要
考虑到市场的竞争力和组织和项目的复杂性，分析数据对于软件开发和项目管理流程的决策支持至关重要。这些实践对于提高绩效，降低成本和失败风险并保证结果质量，保持工作和控制工作至关重要。 Itlingo-Cloud是一个多组织和多工作空间协作平台，可管理和分析可以支持将项目绩效知识转化为改进决策的数据。该平台允许用户快速设置其环境，管理工作区和技术文档，并分析和观察统计数据以帮助技术和业务决策。 Itlingo-Cloud支持多种技术和语言，促进数据与模板和可重复使用的库同步，以及自动化任务，即自动数据提取，自动验证或文档自动化。最近通过两个实验评估了Itlingo-Cloud的可用性，并与其他相关方法进行了讨论。
Considering the market's competitiveness and the complexity of organizations and projects, analyzing data is crucial to decision support on software development and project management processes. These practices are essential to increase performance, reduce costs and risks of failure, and guarantee the quality of results, keeping the work organized and controlled. ITLingo-Cloud is a multi-organization and multi-workspace collaborative platform to manage and analyze data that can support translating project performance knowledge into improved decision-making. This platform allows users to quickly set up their environment, manage workspaces and technical documentation, and analyze and observe statistics to aid both technical and business decisions. ITLingo-Cloud supports multiple technologies and languages, promotes data synchronization with templates and reusable libraries, as well as automation tasks, namely automatic data extraction, automatic validation, or document automation. The usability of ITLingo-Cloud was recently evaluated with two experiments and discussed with other related approaches.
