Code quality detection system and method based on ESLint configuration

Abstract

The invention provides a code quality detection system and method based on ESLint configuration, and relates to the technical field of software development. The system comprises a source code hosting library which is used for pulling component source codes input by developers, trusting the component source codes, and constructing project engineering; a file conversion module used for acquiring a quality detection configuration file and converting the quality detection configuration file into a data file analyzed by the frame base; a quality detection core module used for acquiring the data file and analyzing the data file to generate quality evaluation parameters, taking the ESLint as a frame base, analyzing the source codes of the project engineering, constructing a project structure tree, and carrying out code evaluation according to the quality evaluation parameters to obtain quality score data; a version management module used for performing unified version management on the component source codes, the source codes of the project engineering and the quality detection configuration file; and a visualization module used for collecting a quality detection configuration file configured by a manager through a visualization interface, and displaying a structure tree and quality scoring data.

Description

technical field [0001] The invention relates to the technical field of software development, in particular to a code quality detection system and method based on ESLint configuration. Background technique [0002] At present, the following technical pain points exist in the development and testing process of the existing front-end projects: 1. For the quality of the front-end code, there is a lack of unified measurement standards and effective management mechanisms, and in most cases it is strongly dependent on the judgment of personnel experience, resulting in uneven quality of the front-end code together. 2. Front-end source code-level errors mostly rely on human eye inspection during the walkthrough stage, and the efficiency of troubleshooting is low. 3. Most coding-level errors are not exposed until the testing stage, and there is a lack of effective detection tools in the development stage, which affects the overall development and testing progress of the project. 4. ...

AI Technical Summary

Problems solved by technology

[0002] At present, the following technical pain points exist in the development and testing process of the existing front-end projects: 1. For the quality of the front-end code, there is a lack of unified measurement standards and effective management mechanisms, and in most cases it is strongly dependent on the judgment of personnel experience, resulting in uneven quality of the front-end code together

2. Front-end source code coding-level errors mostly rely on human eye inspection during the walkthrough stage, and the efficiency of troubleshooting is low

3. Most coding-level errors are delayed until the testing stage, and there is a lack of effective detection tools in the development stage, which affects the overall development and testing progress of the project

4. Coding specifications are limited to the form of documents, and it is difficult to organically integrate with the development process. Developers often need a lot of energy to benchmark the team's coding specifications during the development stage, which greatly affects development efficiency

[0003] To sum up, from the perspective of front-end project development status and running status, there are technical problems such as the lack of unified management tools for front-end code quality, the lagging bug detection stage, the difficulty in taking into account quality requirements in the development process, and the difficulty in locating test problems, which greatly affect development and testing. Verification efficiency, code quality is uneven, and technical issues such as inability to effectively control

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