International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Automation Test Framework for Radar Application Features of Blind Spot Detection and Rear Cross Traffic Alert , Authors : Netravati S Sullad, Dr.H.V.Kumaraswamy, Shravan Prakash, Ragesh Radhakrishnan, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 11, Issue 4, July - August 2022

Title:
Automation Test Framework for Radar Application Features of Blind Spot Detection and Rear Cross Traffic Alert
Author Name:
Netravati S Sullad, Dr.H.V.Kumaraswamy, Shravan Prakash, Ragesh Radhakrishnan
Abstract:
Abstract: The paper describes an automated method for testing the Diagnostic Trouble Code (DTC) life cycle, reading the Data Identifiers (DIDs), Write DIDs and feature testing of an automotive Electronic Control Unit (ECU) using the CANalyzer as a hardware and the CAN Access Programming Language (CAPL) to access it. In todays environment, the automotive area faces major challenges in terms of vehicle safety. To achieve effective outcomes, many ways for software testing are being explored. The process of automatically running tests and analyzing the results to enhance software quality is known as test automation. To check the behavior of an ECU an automated testing method for vehicles using UDS protocol stack based on Controller Area Network (CAN) bus is developed for the radar application features of Blind Spot Detection (BSD) and Rear Cross Traffic Alert (RCTA). The automatically generated report provides an detailed report of passing and failing status of the test cases. Keywords: CAN, UDS, CAPL, Python, .ini,
Cite this article:
Netravati S Sullad, Dr.H.V.Kumaraswamy, Shravan Prakash, Ragesh Radhakrishnan , " Automation Test Framework for Radar Application Features of Blind Spot Detection and Rear Cross Traffic Alert " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 11, Issue 4, July - August 2022 , pp. 048-054 , ISSN 2278-6856.
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