A program code quality detection method, device and equipment and a storage medium

By employing various static code scanning rules, code quality gating rules, and contextual analysis, combined with historical quality detection data, the problem of false alarms in static code scanning has been resolved, achieving more efficient code quality detection.

CN122412264APending Publication Date: 2026-07-17INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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Patent Information

Application Number
CN202610270015.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing static code scanning methods are prone to false positives in program code quality inspection, lack contextual analysis, and affect the accuracy and reliability of the detection.

Method used

Multiple static code scanning rules are used for anomaly identification. Combined with code quality gate rules and context analysis, a code quality verification model is used for problem identification, and historical quality detection data is used for comprehensive evaluation.

Benefits of technology

It improves the accuracy and reliability of program code quality detection, reduces the false alarm rate, and enhances the precision of code quality detection.

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Abstract

本申请公开了一种程序代码质量检测方法、装置、设备及存储介质，可用于金融科技技术领域。该方法包括对目标程序代码采用多种代码静态扫描规则进行异常识别，得到各代码静态扫描规则对应的异常识别结果；基于代码质量门禁规则，根据异常识别结果，对目标程序代码进行问题识别，得到静态问题识别结果和异常代码段；若确定目标程序代码为问题程序代码，则对异常代码段进行上下文分析，得到上下文关联数据；基于代码质量验证模型，根据上下文关联数据，对目标程序代码进行问题识别，得到上下文问题识别结果；根据历史质量检测数据、静态问题识别结果和上下文问题识别结果，确定代码质量检测结果。上述方法，提高了代码质量检测的准确性和可靠性。
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