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Evaluating project maturity from data sources

机译:从数据源评估项目成熟度

摘要

Techniques are provided for performing automated operations to determine maturity of a specified project. Information is received regarding each of a plurality of artifacts associated with the project, such as project documentation, source code repositories, and a tracked issue database for the project. A data sufficiency level associated with each provided artifact is determined, and each artifact is provided to one or more of multiple analysis engines. The analysis engines are executed to produce one or more weighted feature vectors for each of the artifacts associated with the specified project, and input to a prediction engine in order to provide a maturity rating for the project based on the weighted feature vectors.
机译:提供了用于执行自动化操作以确定指定项目的成熟度的技术。接收有关与项目关联的多个工件中的每一个工件的信息,例如项目文档,源代码存储库和项目的跟踪发行数据库。确定与每个提供的工件相关联的数据充足程度,并将每个工件提供给多个分析引擎中的一个或多个。执行分析引擎以为与指定项目关联的每个工件产生一个或多个加权特征向量,并输入到预测引擎,以便基于加权特征向量为项目提供成熟度等级。

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