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危機管理學刊

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篇名 Using Data Mining for Software Project Risk Prevention
卷期 1:2
作者 Wu, Ching-seh
頁次 49-54
關鍵字 Software EngineeringSoftware Project RiskSoftware Project Management
出刊日期 200406

中文摘要

英文摘要

This paper presents the data mining approach combining with software project Plan Tracking Intelligent Agent to assist the manager in
identifying software project risk. The resources, tasks, schedules, and milestones of the software project are described in software project
components. As software development process evolves, measurements and project data are unobtrusively gathered and the software development processes are monitored. The Plan Tracking Intelligent Agent uses the result of data mining process to dynamically report recommendations, suggesting the software development that should be executed to best
comply with the software project plan. With the assistance of data mining technique, the Plan Tracking Agent reports risks and suggests problem
solutions to help managers assure that a project is within budget, on time, and to customer satisfaction.

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