An analysis of the 61,817 tasks performed by developers working on 45 projects, implemented using Team Software Process, is documented via a conversation between a data analyst and the person who collected, compiled, and originally analyzed the data. Five projects were safety critical, containing a total of 28,899 tasks. Projects were broken down using a Work Breakdown Structure to create a hierarchical organization, with tasks at the leaf nodes. The WBS information enables task organization within a project to be investigated, e.g., how related tasks are sequenced together. Task data includes: kind of task, anonymous developer id, start/end time/date, as well as interruption and break times; a total of 203,621 time facts. Task effort estimation accuracy was found to be influenced by factors such as the person making the estimate, the project involved, and the propensity to use round numbers.
翻译：通过数据分析员与收集、汇编和最初分析数据的人之间的谈话,记录了对45个项目的开发者所执行的61 817项任务的分析,其中利用团队软件程序对45个项目进行了分析,通过数据分析员与收集、汇编和最初分析数据的人之间的谈话记录了其中5个项目是安全关键项目,共包含28 899项任务;利用工作分类结构对项目进行了细分,以建立一个等级分级组织,在叶节点上执行任务;WBS信息使一个项目中的任务组织能够接受调查,例如,如何对相关任务进行顺序排列;任务数据包括:任务种类、匿名开发者身份、开始/结束时间/日期以及中断和中断时间;共计203 621个时间事实;发现,任务估算准确性受到诸如作出估计的人、所涉项目以及使用圆数的倾向等因素的影响。
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