一种软件检测实验室数据管理的平台

By introducing visual recognition and feature extraction modules into the software testing laboratory data management platform for dimensionality reduction, the problems of staff having to observe and perform ineffective calculations are solved, achieving efficient automated testing and simplified data processing.

CN117056541BActive Publication Date: 2026-07-17ZHONGKE SOFTWARE EVALUATION (GUANGZHOU) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHONGKE SOFTWARE EVALUATION (GUANGZHOU) CO LTD
Filing Date
2022-05-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the existing software testing process, staff need to observe and process the test data, which increases the workload of staff. In addition, the automated testing scripts are computationally intensive and ineffective, resulting in wasted time.

Method used

Design a data management platform for a software testing laboratory, including a software testing module, a monitoring module, a video input module, a storage module, a database, a visual recognition and classification module, a feature extraction module, a data transmission module, a classification and storage module, and a display and search module. The visual recognition and classification and feature extraction modules perform dimensionality reduction processing on images to remove useless dimensions of data and improve computational efficiency.

Benefits of technology

By removing noise through dimensionality reduction, invalid calculations are reduced, improving the efficiency of automated detection, reducing reliance on manual operation, and simplifying the data processing flow.

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Abstract

本发明属于数据管理技术领域,尤其是一种软件检测实验室数据管理的平台,包括软件检测模块、监控模块、视频录入模块、储存模块、数据库、视觉识别分类模块、特征提取模块、数据传输模块、分类存储模块和显示搜索模块。该软件检测实验室数据管理的平台及其工作方法,通过在梯度计算之前对监控模块获取的图像以及数据通过维度简约模块进行降维处理,通过对图像的降维处理进行去除噪声、进而提高学习算法的结果,使数据集更容易进行处理,进而使得结果能够更容易被理解,通过对有用的维度进行聚集,对无用的维度进行剔除后,对剩下的特征值进行梯度计算,梯度计算可以快速清晰的对图像中的特征对象的外观和形状通过直方图进行描述。
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