Empirical Project Monitor: A Tool for Mining Multiple Project Data

Empirical Project Monitor: A Tool for Mining Multiple Project Data
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实证项目监控:挖掘多个项目数据的工具

DOI:
10.1049/ic:20040474
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发表时间:
2004
期刊:
Ninth Asia-Pacific Software Engineering Conference, 2002.
影响因子:
--
通讯作者:
K. Torii
K. Torii
中科院分区:
--
文献类型:
--
作者:
M. Ohira;Reishi Yokomori;M. Sakai;Ken;Katsuro Inoue;K. Torii

文献摘要

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必须基于定量数据来实现有效软件流程改进的项目管理。但是,由于用于测量的数据收集需要高成本和与开发人员的协作,因此很难连续收集连贯的,定量数据,并利用数据来练习软件流程的改进。在本文中,我们描述了经验项目监视器(EPM),该项目将自动收集并测量广泛使用的软件开发支持系统中的三种存储库中的数据,例如配置管理系统,邮件列表管理器和问题跟踪系统。以图形方式提供集成测量结果,EPM可帮助开发人员/经理实时控制项目。
Project management for effective software process improvement must be achieved based on quantitative data. However, because data collection for measurement requires high costs and collaboration with developers, it is difficult to collect coherent, quantitative data continuously and to utilize the data for practicing software process improvement. In this paper, we describe Empirical Project Monitor (EPM) which automatically collects and measures data from three kinds of repositories in widely used software development support systems such as configuration management systems, mailing list managers and issue tracking systems. Providing integrated measurement results graphically, EPM helps developers/managers keep projects under control in real time.