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Code Generator for ADAS Software Testing (CROSBI ID 695304)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Mihalj, Andrija ; Grbić, Ratko ; Lukić, Nemanja ; Kaprocki, Zvonimir Code Generator for ADAS Software Testing // 2020 Zooming Innovation in Consumer Technologies Conference(ZINC). 2020. str. 184-189 doi: 10.1109/ZINC50678.2020.9161801

Podaci o odgovornosti

Mihalj, Andrija ; Grbić, Ratko ; Lukić, Nemanja ; Kaprocki, Zvonimir

engleski

Code Generator for ADAS Software Testing

Modern cars use advanced electronic systems that help the driver with the driving process - so-called Advanced Driver-Assistance Systems (ADAS). ADAS systems are used to automate, customize and improve systems within a vehicle for greater safety and better driving experience. Since ADAS systems as such can have a significant impact on the driving process, the vehicle and the driver, they must be thoroughly tested and developed within many industry standards. The key factor in their work is communication between individual system components. This standardized communication is necessary to test, which is usually performed by developing AUTomotive Open System Architecture (AUTOSAR) communication tests. Since ADAS testing can be quite a complex and time-consuming process, automated testing is performed in an appropriate testing environment. In this paper, existing ADAS environment testing systems is presented, which generates a test environment for the simulation of communication in the middle layer (Middleware) of AUTOSAR architecture. Test Environment Generator (TEG) is a Python program for processing ARXML test files based on which it generates a test environment model in the form of separate components in the C programming language. The program consists of input data parsing, parsed data storing and components generation that build the test environment. Based on the detected disadvantages of the existing TEG, several modifications are proposed in order to accelerate its execution time and to introduce more robust and stable data storage methods in database form.

ADAS ; AUTOSAR ; multiprocessing ; code generator ; test environment

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Podaci o prilogu

184-189.

2020.

objavljeno

10.1109/ZINC50678.2020.9161801

Podaci o matičnoj publikaciji

2020 Zooming Innovation in Consumer Technologies Conference(ZINC)

978-1-7281-8259-9

Podaci o skupu

Zooming Innovation in Consumer Electronics International Conference (ZINC)

predavanje

26.05.2020-27.05.2020

Novi Sad, Srbija

Povezanost rada

Računarstvo

Poveznice