Article

Testing methods used in the automotive industry: results from a survey

Authors:

Harald Altinger,

Markus SchuriusAuthors Info & Claims

JAMAICA 2014: Proceedings of the 2014 Workshop on Joining AcadeMiA and Industry Contributions to Test Automation and Model-Based Testing

Pages 1 - 6

https://doi.org/10.1145/2631890.2631891

Published: 21 July 2014 Publication History

Abstract

About 90% of all the current car innovations are based on electronics and software. The software used in a car has increased a lot reaching the size of 100 Million lines of code. Therefore, testing of automotive software has become a very critical task. In this paper we report on a questionnaire survey we carried out asking for information about testing activities within the automotive industry. We report on testing and test automation methods and tools in current use. In the survey we distinguished the different fields in the automotive industry where software development happens, i.e., research, pre-development, and series development. In addition we also discuss the opinions of the survey participants to various outlook topics.

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Digital Library

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Digital Library

Cited By

Keil RTschorn JTümler JAltinsoy M(2024)Evaluation of SiL Testing Potential—Shifting from HiL by Identifying Compatible Requirements with vECUsVehicles10.3390/vehicles60200446:2(920-948)Online publication date: 29-May-2024
https://doi.org/10.3390/vehicles6020044
Quadar NChehri ADebaque BAhmed IJeon G(2024)Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities and Future Research TrendsIEEE Internet of Things Magazine10.1109/IOTM.001.23001097:2(62-68)Online publication date: Mar-2024
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Xue ZZhao DYang ZWang T(2024)Exploration of Narrative Design Method and Tool on Intelligent Cockpit Experience DesignCross-Cultural Design10.1007/978-3-031-60913-8_13(178-191)Online publication date: 1-Jun-2024
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Index Terms

Testing methods used in the automotive industry: results from a survey
1. General and reference
  1. Document types
    1. Surveys and overviews
2. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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cover image ACM Conferences

JAMAICA 2014: Proceedings of the 2014 Workshop on Joining AcadeMiA and Industry Contributions to Test Automation and Model-Based Testing

July 2014

33 pages

ISBN:9781450329330

DOI:10.1145/2631890

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSOFT: ACM Special Interest Group on Software Engineering

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 July 2014

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ISSTA '14

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SIGSOFT

ISSTA '14: International Symposium on Software Testing and Analysis

July 21, 2014

CA, San Jose, USA

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ISSTA '24

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33rd ACM SIGSOFT International Symposium on Software Testing and Analysis

September 16 - 20, 2024

Vienna , Austria

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Cited By

Keil RTschorn JTümler JAltinsoy M(2024)Evaluation of SiL Testing Potential—Shifting from HiL by Identifying Compatible Requirements with vECUsVehicles10.3390/vehicles60200446:2(920-948)Online publication date: 29-May-2024
https://doi.org/10.3390/vehicles6020044
Quadar NChehri ADebaque BAhmed IJeon G(2024)Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities and Future Research TrendsIEEE Internet of Things Magazine10.1109/IOTM.001.23001097:2(62-68)Online publication date: Mar-2024
https://doi.org/10.1109/IOTM.001.2300109
Xue ZZhao DYang ZWang T(2024)Exploration of Narrative Design Method and Tool on Intelligent Cockpit Experience DesignCross-Cultural Design10.1007/978-3-031-60913-8_13(178-191)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60913-8_13
Hecking-Harbusch JQuante JSchlund M(2024)Formal Runtime Error Detection During Development in the Automotive IndustryVerification, Model Checking, and Abstract Interpretation10.1007/978-3-031-50524-9_1(3-26)Online publication date: 15-Jan-2024
https://dl.acm.org/doi/10.1007/978-3-031-50524-9_1
Scarsella MRagnoli MTambelli BLongo GFerri GStornelli V(2023)Automatic Sensor Detection System for Automotive Industry Applications2023 8th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech58164.2023.10193417(1-4)Online publication date: 20-Jun-2023
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Formica FFan TMenghi C(2023)Search-Based Software Testing Driven by Automatically Generated and Manually Defined Fitness FunctionsACM Transactions on Software Engineering and Methodology10.1145/362474533:2(1-37)Online publication date: 23-Dec-2023
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Luo FZhang XYang ZJiang YWang JWu MFeng W(2022)Cybersecurity Testing for Automotive Domain: A SurveySensors10.3390/s2223921122:23(9211)Online publication date: 26-Nov-2022
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Selvaraj YFarooqui APanahandeh GAhrendt WFabian M(2022)Automatically Learning Formal Models from Autonomous Driving SoftwareElectronics10.3390/electronics1104064311:4(643)Online publication date: 18-Feb-2022
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Marino AHalinge NFons FArostegui J(2022)Build Automation Framework for Design Validation of Automotive Gateway Controllers2022 IFIP Networking Conference (IFIP Networking)10.23919/IFIPNetworking55013.2022.9829801(1-6)Online publication date: 13-Jun-2022
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