Method, device and system for determining interface data quality

Abstract

The invention provides a method, a device and a system for determining interface data quality. The method comprises the following steps: acquiring interface data quality data of a plurality of interfaces in a plurality of time periods; the interfaces of all the time periods are clustered, multiple first clustering results are obtained, one first clustering result comprises multiple categories and category centers corresponding to all the categories, and the sum of squares of errors between any set of interface data quality data and the corresponding category center is smaller than a first preset threshold value; determining a category corresponding to each interface according to the plurality of first clustering results; clustering the interface data quality data of each category to obtain a plurality of second clustering results, each second clustering result comprising a plurality of data heaps and a data heap center corresponding to each data heap, and the sum of squares of errors between any group of interface data quality data and the corresponding data heap center being less than a second predetermined threshold; and obtaining the score of each data pile. The method solves the problem that in the prior art, the human intervention degree of interface data quality scoring is large.

Description

technical field [0001] The present application relates to the technical field of software development, and in particular, to a method for determining the quality of interface data, a device for determining the quality of the interface data, a processor, a computer-readable storage medium, and a system for determining the quality of interface data. Background technique [0002] At present, most of the existing technical methods for data quality interface level scoring in the market and academia are methods of sub-item scoring and summarizing according to index classification. The following is a brief introduction to a current evaluation method: (1) The automatic scoring module will Quality issues are simplified into three categories of first-level indicators: accuracy, completeness and timeliness; accuracy indicators can be refined into secondary indicators such as correctness, precision, uniqueness, effectiveness, and consistency, and integrity indicators can be refined Turn...

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Problems solved by technology

[0015] The main purpose of this application is to provide a method for determining the quality of interface data, a determining device, a processor, a computer-readable storage medium, and a system for determining the quality of interface data, so as to solve the problem of the large degree of human intervention in interface data quality scoring in the prior art question

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