Research Institute

Acceptance test for the code audit project of image processing software for night vision auxiliary perception devices

The code audit project acceptance test of the image processing software XJ_YSFZ001-VER1.1-2022-11-14 for night vision auxiliary perception devices was conducted. Acceptance tests were carried out on its functionality and information system code security aspects. Through strict execution tests, including initial tests and regression tests, a software acceptance test report was issued.

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Detailed analysis of the case

The night vision auxiliary perception device image processing software XJ_YSFZ001-VER1.1-2022-11-14 can run on the Linux platform, developed in C language, and applied in fields such as vehicle driving. It adopts the domestic hisilicon 3559A core processor and is used to receive 9 channels of video provided by infrared and low-light cameras. Among them, the infrared signal is input through the USB interface on the processing board, featuring video fusion function, video storage and playback function, HDMI output function, and network port output function.

This test is based on GB/T 25000.51-2016 "Systems and Software Engineering - Quality Requirements and Evaluation of Systems and Software - Part 51: The national standard "Quality Requirements and Test Details for Ready Available Software Products (RUSP)", the GJB/Z 141-2004 "Military Software Testing Guidelines" standard and related requirements respectively conducted acceptance tests on its functionality and information system code security aspects. Through strict execution tests, including initial tests and regression tests, The software acceptance test report was issued.


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