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Action-based in-process software defect prediction software defect prediction techniques based on software development activities

机译:基于动作的过程中软件缺陷预测基于软件开发活动的软件缺陷预测技术

摘要

An action-based in-process software defect prediction (ABDP) applies classifying records of a performed action to predict whether subsequent actions cause defects in a project. A performed action is previously defined herein as an operation performed based on tasks in Work Breakdown Structure (WBS) of the project. Rather than focusing on the reported defects, ABDP discovers the patterns of the performed action that may cause defects composing a historic data set, and uses analytical results to predict whether the subsequent actions are likely to generate defects composing another historic data set. Once actions with high probability of causing the defects are identified, stakeholders review these actions carefully and take appropriate corrective actions to create a fresh performed action. The fresh performed action is continually appended to the historic data sets of amending the defects to construct a new prediction model for further subsequent actions.
机译:基于动作的过程中软件缺陷预测(ABDP)应用已执行动作的分类记录,以预测后续动作是否会导致项目中的缺陷。在此先前将执行的动作定义为基于项目的工作分解结构(WBS)中的任务执行的操作。 ABDP而不是专注于报告的缺陷,而是发现所执行动作的模式可能会导致构成历史数据集的缺陷,并使用分析结果来预测后续动作是否可能产生构成另一个历史数据集的缺陷。一旦确定了极有可能导致缺陷的措施,利益相关者将仔细审查这些措施并采取适当的纠正措施,以创建新的执行措施。新执行的动作将连续地附加到历史数据集上,以修改缺陷以构造用于进一步后续动作的新预测模型。

著录项

  • 公开/公告号US7856616B2

    专利类型

  • 公开/公告日2010-12-21

    原文格式PDF

  • 申请/专利权人 CHING-PAO CHANG;CHIH-PING CHU;

    申请/专利号US20070736325

  • 发明设计人 CHIH-PING CHU;CHING-PAO CHANG;

    申请日2007-04-17

  • 分类号G06F9/44;G06F11/00;

  • 国家 US

  • 入库时间 2022-08-21 18:08:18

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