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UTILIZING ARTIFICIAL INTELLIGENCE TO IMPROVE PRODUCTIVITY OF SOFTWARE DEVELOPMENT AND INFORMATION TECHNOLOGY OPERATIONS (DEVOPS)

机译:利用人工智能提高软件开发和信息技术运营的生产力(Devops)

摘要

A device may receive data associated with a software development platform, and may correlate the data to generate correlated data. The device may train a first model, with the correlated data, to generate a software impact analyzer model, and may train a second model, with the correlated data, to generate a software development behavior model. The device may receive data identifying a new software requirement associated with the software development platform, and may process the data identifying the new software requirement, with the software impact analyzer model, to identify a file or a module impacted by the new software requirement. The device may process data identifying the file or the module, with the software development behavior model, to identify a developer to handle the new software requirement, and may perform one or more actions based on the data identifying the file or the module and data identifying the developer.
机译:设备可以接收与软件开发平台相关联的数据,并且可以将数据相关联以生成相关数据。该设备可以与相关数据一起训练第一模型,以生成软件影响分析器模型,并且可以用相关数据训练第二模型,以生成软件开发行为模型。该设备可以接收标识与软件开发平台相关联的新软件要求的数据,并且可以处理识别软件影响分析器模型的新软件需求的数据,以识别由新软件要求影响的文件或模块。该设备可以处理识别文件或模块的数据,其中包含软件开发行为模型,以识别开发人员来处理新的软件要求,并且可以基于标识文件或模块的数据和数据识别的数据执行一个或多个动作开发人员。

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