Borg, Markus
- Increasing, not Diminishing: Investigating the Returns of Highly Maintainable Code
2024/01/24 by Markus Borg, Ilyana Pruvost, Borg, Markus +5 · 2 voices · 1 citation
#cs.SE
- Code Red: The Business Impact of Code Quality -- A Quantitative Study of 39 Proprietary Production Codebases
2022/03/08 by Adam Tornhill, Tornhill, Adam, Markus Borg +1 · 3 voices · 3 citations
#cs.SE
- Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System
2022/04/16 by Markus Borg, Borg, Markus, Jens Henriksson +17 · 5 citations
Computer Science · Decision Sciences · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Risk and Safety Analysis #Safety Systems Engineering in Autonomy #Software Engineering (cs.SE)
- Echoes of AI: Investigating the Downstream Effects of AI Assistants on Software Maintainability
2025/07/01 by Markus Borg, Dave Hewett, Borg, Markus +13 · 5 voices · 1 citation
#cs.SE #cs.AI
- Requirements Engineering for Machine Learning: Perspectives from Data\n Scientists
2019/08/13 by Andreas Vogelsang, Markus Borg, Vogelsang, Andreas +1 · 2 citations
Business, Management and Accounting · Computer Science · #Big Data and Business Intelligence #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE) #Software Engineering Research #Software Engineering Techniques and Practices
- Digitalization of Swedish Government Agencies - A Perspective Through the Lens of a Software Development Census
2018/02/01 by Borg, Markus, Olsson, Thomas, Franke, Ulrik +1 · 1 citation
#FOS: Computer and information sciences #Software Engineering (cs.SE)
- Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry
2018/12/13 by Borg, Markus, Englund, Cristofer, Wnuk, Krzysztof +7 · 1 citation
#FOS: Computer and information sciences #Software Engineering (cs.SE)
- Towards Structured Evaluation of Deep Neural Network Supervisors
2019/03/04 by Jens Henriksson, Henriksson, Jens, Christian Berger +11 · 1 citation
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Autonomous Vehicle Technology and Safety
- Video Game Development in a Rush: A Survey of the Global Game Jam Participants
2019/03/31 by Borg, Markus, Garousi, Vahid, Mahmoud, Anas +2 · 1 citation
#FOS: Computer and information sciences #Software Engineering (cs.SE)
- Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges
2023/03/10 by Hans-Martin Heyn, Khan Mohammad Habibullah, Heyn, Hans-Martin +11 · 2 citations
Decision Sciences · Social Sciences · #D.2.0 #D.2.1 #Data Quality and Management #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Software Engineering (cs.SE)
- Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
2024/01/30 by Jens Henriksson, Christian Berger, Henriksson, Jens +5 · 2 citations
Engineering · Environmental Science · Computer Science · #Traffic Prediction and Management Techniques #Air Quality Monitoring and Forecasting #Anomaly Detection Techniques and Applications
- Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
2021/03/29 by Jens Henriksson, Henriksson, Jens, Christian Berger +9 · 1 citation
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #D.2.5 #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Nuclear Engineering Thermal-Hydraulics
- Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL
2021/09/16 by Ebadi, Hamid, Moghadam, Mahshid Helali, Borg, Markus +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE)
- Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing
2022/03/22 by Moghadam, Mahshid Helali, Borg, Markus, Saadatmand, Mehrdad +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Software Engineering (cs.SE)
- Digital Twins Are Not Monozygotic -- Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators
2020/12/12 by Borg, Markus, Abdessalem, Raja Ben, Nejati, Shiva +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE)
- Requirements Engineering for Automotive Perception Systems: an Interview Study
2023/02/23 by Habibullah, Khan Mohammad, Heyn, Hans-Martin, Gay, Gregory +6 · 1 citation
#FOS: Computer and information sciences #Software Engineering (cs.SE)
- Adopting Automated Bug Assignment in Practice: A Longitudinal Case Study at Ericsson
2022/09/19 by Markus Borg, Borg, Markus, Leif Jönsson +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Research #Software Engineering Techniques and Practices #Software Reliability and Analysis Research
- Ghost Echoes Revealed: Benchmarking Maintainability Metrics and Machine Learning Predictions Against Human Assessments
2024/08/20 by Markus Borg, Borg, Markus, Marwa Ezzouhri +3 · 1 citation
Computer Science · Health Professions · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Occupational Health and Safety Research #Software Engineering (cs.SE)