版本构建方法及装置、存储介质和电子设备

By acquiring keywords and information from build logs, and using a category prediction model to automatically locate version installation problems, this solves the problem of low efficiency in manual location in existing technologies, and achieves automated and efficient version building, dynamically selecting the optimal build time.

CN114741114BActive Publication Date: 2026-07-17INDUSTRIAL AND COMMERCIAL BANK OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
Filing Date
2022-05-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, version installation requires a lot of manual intervention to locate problems, resulting in low build efficiency, which cannot meet the needs of rapid iteration and flexible production deployment. Furthermore, environmental problem repair takes a long time and cannot dynamically select the optimal build time.

Method used

By acquiring keywords from the target build logs and a build issue information database, the system automatically locates build issues using a category prediction model. Based on the handling suggestions, it automatically restores the environment or pushes the issue to developers for processing. Finally, it uses a time series prediction model to select the shortest build point for rebuilding.

Benefits of technology

It automates the process of version building, efficiently identifies and resolves issues, improves build efficiency, shortens the problem-solving cycle, and dynamically selects the optimal build time.

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Abstract

本申请公开了一种版本构建方法及装置、存储介质和电子设备,涉及人工智能领域。该方法包括:获取目标构建日志的关键字和构建问题的信息库,其中,目标构建日志为用于构建目标版本的报错日志,构建问题的信息库用于存储在版本安装过程中出现的构建问题的类别及构建问题的类别对应的处理意见;将目标构建日志的关键字输入类别预测模型进行预测,得到目标构建日志的关键字对应的目标构建问题的类别,并依据构建问题的信息库确定目标构建问题的类别对应的目标处理意见;依据目标处理意见,对目标版本进行重新构建。通过本申请,解决了相关技术中采用人工方式定位版本安装过程中的问题,导致版本构建的效率较低的问题。
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