Efficient test method for constant false alarm detection software unit

Abstract

The invention discloses an efficient test method for a constant false alarm rate detection software unit, and the method comprises the following steps: 1, analyzing the constant false alarm rate detection software unit, determining a large array input and output variable, and performing simulating to generate large array input data; 2, creating a universal driving function, and assigning values tothe large array input data to obtain assigned large array input variables; 3, performing simulation test on the assigned large array input variable to obtain a standard array; 4, judging whether thestandard array reaches a test threshold value or not: if so, finishing the test; 5, if not, repeating the steps 3-5 until the test is completed. According to the invention, the problem of low efficiency of traditional constant false alarm detection software unit testing is solved; the driving function is parameterized and modularized, expansibility and universality are enhanced, the expected valueand the actual value of the big data output array are compared automatically, the defects that a traditional testing tool inputs big array data manually and compares the big array data manually are overcome, and software testing efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of software testing, in particular to an efficient testing method for constant false alarm detection software units. Background technique [0002] Constant false alarm detection is one of the important contents in signal processing technology. The constant false alarm detection software unit detects the signal under test according to a certain algorithm, and extracts the characteristics that meet the threshold to the maximum extent while maintaining the specified false alarm probability. target signal. When the project is realized, the large data array reflecting the characteristics of the detection signal is one of the input variables of the constant false alarm detection software unit, and the target characteristic data conforming to the detection algorithm is one of the output results. [0003] Software testing is the process of using manual or automatic means to run or measure a system, the purpose of w...

AI Technical Summary

Problems solved by technology

This method aims to solve the problem that traditional testing tools do not automatically read large arrays of batch data, resulting in low efficiency of constant false alarm detection software unit testing. The driving function is parameterized and modularized to enhance scalability and versatility, while automatically comparing large The expected value and actual value of the data output array, avoiding traditional test tools to manually input large array data and manual comparison, and improve the efficiency of software testing

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