Code quality evaluation method and device, equipment, medium, and program product
A code quality and evaluation method technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as reducing development efficiency, waste, and difficult to quickly locate problem codes
Pending Publication Date: 2022-02-11
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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Problems solved by technology
This will lead to more code files for continuous integration. When the build fails, it will be difficult for the development to quickly locate the problem code, and it will take more time to troubleshoot and reduce the development efficiency.
At present, most enterprises use a manual review mechanism to review the problems on the integration pipeline, lacking a rapid and accurate review and problem feedback mechanism, not only the cost of manual review is high, a lot of labor costs are wasted, but also it cannot provide fast and effective code quality optimization for development solution, resulting in a lot of time wasted in development waiting for problem review, problem location and repair, greatly reducing development efficiency and increasing development costs
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[0027] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present disclosure.
[0028] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, ...
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The invention provides a code quality evaluation method, and the method can be applied to the technical field of finance. The method comprises the following steps: in response to a submission event that a code is submitted to a target branch, obtaining an incremental change file of the code; triggering pipeline detection on the incremental change file to obtain multiple detection results of the incremental change file; inputting the multiple detection results into a preset assembly line decision model, and comprehensively evaluating the quality of the multiple detection results to obtain a quality report of the code and a prediction result of whether the event is successfully submitted. The invention further provides a code quality evaluation device, equipment, a storage medium, and a program product. According to the method, assembly line construction scanning is triggered when a code is submitted, the assembly line execution frequency is greatly improved, and a file of assembly line execution scanning is an incremental change file submitted by development, so that the assembly line execution time is effectively shortened, the development is assisted in quick location of problematic codes, and quality evaluation is carried out through an assembly line decision model without manual auditing.
Description
technical field [0001] The present disclosure relates to the field of artificial intelligence, in particular to a code quality evaluation method, device, equipment, medium and program product. Background technique [0002] Continuous integration is a software development method. Usually, each developer integrates the code at least once a day. Each integration needs to use automated builds to verify the correctness of the code, so as to detect integration errors as early as possible. [0003] The traditional continuous integration pipeline is generally executed several times a day after building or merging branches, and the execution frequency is low. This will lead to more code files for continuous integration. When the build fails, it is difficult for the development to quickly locate the problem code, and it takes more time to troubleshoot, which reduces the development efficiency. At present, most enterprises use a manual review mechanism to review the problems on the in...
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Patent Timeline
Login to View More IPC IPC(8): G06F11/36G06N3/08
CPCG06F11/3616G06F11/3608G06F11/3676G06F11/3692G06N3/08
Inventor 黄群程相叶鸿浩朱凯莉
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA