A DevOps quality evaluation and measurement method, device and equipment
By constructing a multi-level indicator architecture and pre-set models, the automated data collection and calculation for DevOps quality and performance evaluation and measurement are realized, which solves the problem of low efficiency in traditional methods, establishes a standardized multi-level indicator system, and improves the comparability and automation of evaluation results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING HUAYOU TECH CO LTD
- Filing Date
- 2026-03-02
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional DevOps performance evaluation and measurement methods rely on manual data collection, which is inefficient and makes it difficult to automate the collection and intelligent processing of multi-source heterogeneous data. The lack of a standardized indicator system leads to a lack of comparability in performance evaluation and measurement results.
A multi-level indicator architecture system is constructed. Through a pre-set quality and efficiency evaluation and measurement model, the system realizes automated data collection, processing and calculation of capability domains, capability items and indicators. Data collection is carried out using Python scripts and API interfaces. Combined with the processing rules of numerical and presence/absence indicators, the system uses an intelligent quality and efficiency evaluation and measurement engine for calculation.
It has achieved full-process automation of DevOps quality and performance evaluation and measurement, reduced labor costs, established a multi-level indicator system, improved the standardization of data and the comparability of evaluation results, and supported quality and performance evaluation and measurement of multi-level indicators.
Smart Images
Figure CN122414879A_ABST