Markus Borg

Software Engineering Researcher

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Tag: SMILE

To increase the level of autonomy, future vehicles will depend on functions that rely on Deep machine learning (DML) whose correct behavior cannot be guaranteed by traditional software engineering approaches. Furthermore, crucial parts in ISO 26262 are not well defined for addressing autonomous systems, and certain process requirements and recommendations are not applicable for the development of machine learning in the domains of specification, design, and testing. The SMILE II project focuses on developing methods that allow DML-based functions to be included into safety critical vehicular applications.

August 26, 2021September 5, 2021mrksbrg

Testing AD/ADAS in Simulators – Results from Two Tool Competitions

April 13, 2021April 14, 2021mrksbrg

Digital Twins Are Not Monozygotic – Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators

September 24, 2019July 15, 2020mrksbrg

Requirements Engineering for Machine Learning: Perspectives from Data Scientists

August 28, 2019December 28, 2020mrksbrg

Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks

April 4, 2019December 28, 2020mrksbrg

Towards Structured Evaluation of Deep Neural Network Supervisors

January 31, 2019August 18, 2019mrksbrg

Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry

May 28, 2018July 13, 2018mrksbrg

Automotive Safety and Machine Learning: Initial Results from a Study on How to Adapt the ISO 26262 Safety Standard

Recent Publications

  • Requirements on Technical Debt: Dare to Specify Them! February 20, 2023
  • Pipeline Infrastructure Required to Meet the Requirements on AI December 27, 2022
  • Can RE Help to Better Prepare Industrial AI for the Commercial Scale? October 30, 2022
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agile architecture automotive computer vision digitalization information retrieval issue management machine learning meta open source performance public sector recommendation systems requirements engineering safety security simulators sports teaching testing traceability visualization
case study design science experience report experiment interviews literature review proof-of-concept statistical analysis survey
A-TEST AIRE AITest CESI CSEET CSMR DEVOPS DVCon EASE EMSE ENASE ESEM Euromicro GISE HÖGUTB ICSE ICST IEEE Software IoT4Emergency IST ITEQS JASE JSEP LUPed MALETS MaLTeSQuE MARCH NAWGFEST NODALIDA PROFES RET SASSUR SEAMS SEFAIAS SQJ SQUADE TEFSE TinyToCS ToG TSE XP
AIQ EASE. ORION PIMM SECONDS SMILE TESTOMAT

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