A testing method for electric power big data business system based on heterogeneous information flow

Abstract

The present invention provides a method for testing a power big data business system based on heterogeneous information flow. Step 1: Automatically collect each function point R in the power big data business system, and decompose the function point into a group of quantified factors; The number of corresponding to the number of data elements associated with the function point, there is a factor corresponding to each data element in the function point; Step 2: use the neural network model test to get 4 quality of the system function point Dimension output; Step 3: According to the output of the four dimensions of the test output, calculate the discriminant value of the function point. When the discriminant value reaches a certain threshold, it is judged that the function point has passed the test. When the discriminant value is less than a certain threshold, then It is judged that the function point has failed the test. The invention provides a fast, automatic, low-cost, accurate and comprehensive comparison-oriented business system testing method for electric power enterprise portals and information services.

Description

technical field [0001] The invention is oriented to power supply and electric power industry, and in particular, relates to a method for testing relevant function points of a power big data business system. Background technique [0002] The electric power industry is the pillar industry of production and life in modern society. With the continuous improvement of the informatization and dataization level of the power industry, the continuous increase of business volume and business scope, the widespread application of electronic paperless and networked office software, the sharing of data information, business processing, data synchronization, and information release etc. require a unified software platform for centralized management and application. At present, there are many businesses involved in the portal and information of electric power enterprises, and the requirements for software systems are getting higher and higher. In recent years, with the rapid development of...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, manual testing can be used for system testing, but this method is time-consuming and laborious, and requires a high level of testing personnel, and is also affected by subjective factors

Although there are currently methods of using computers for automated system testing, these methods require separate development and design for each different system software, are not universal, and cannot automatically change with system iterations, and the accuracy of the test results depends on Due to the design structure of the test software developed separately each time, this makes the test results of different test objects or different periods not comparable

In addition, the current automatic testing method is to test the software as a whole, it is difficult to separate each function point and test it independently.

Or, even if it can be separated, since there are so many function points for the power big data system, this will lead to longer system testing time and excessive resource consumption

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