Quality assurance management method and system based on FOG data

Abstract

The invention relates to a quality assurance management system based on FOG data. The system comprises a quality assurance task creating module for creating and managing a quality assurance task, a quality assurance implementation module for executing work product quality assurance and process quality assurance, and a quality assurance task inquiry module. A quality assurance engineer inquires the quality assurance task through the quality assurance task inquiry module. An inquiry result is a read-only result. The invention also comprises a quality assurance management method based on FOG data. By using the quality assurance management method and system based on FOG data, the quality assurance management is carried out with the FOG data as granularity, the management granularity is more fine, the establishment process of quality assurance is more flexible, a possibility of omitting and delaying quality assurance activities or wrongly establishing quality assurance activities is eliminated, the function and automation of a whole development life cycle process activities are ensured, and the method and the system have a wide application range.

Description

technical field [0001] The present invention relates to the technical field of computer software, in particular to the technical field of project quality assurance management, and specifically refers to a quality assurance management method and system based on FOG data. Background technique [0002] Quality assurance is a planned, systematic approach to assuring management that defined standards, practices, procedures, and process methods are being implemented. [0003] Quality Assurance supports the delivery of high-quality products by providing appropriate visibility and feedback on processes and related work products to project staff and all levels of management throughout the project life cycle. It provides customers and producers with confidence that the final product is up to standard through an objective evaluation of work products and processes. [0004] For high-security systems, such as civil aviation, rail transit, nuclear power heavy industry, medical equipment,...

AI Technical Summary

Problems solved by technology

This problem handling link is discontinuous with the previous quality assurance review link, which may easily cause problem tracking omissions

In addition, discontinuous records will cause the relationship between the audit, inspection items, and non-conforming items to not be completely preserved, resulting in the lack of background information on the detection of non-conforming items, which is not conducive to the confirmation and resolution of problems

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