- On Expressing Automotive Maneuvers with SFC
- Challenges in Specifying Safety-Critical Systems with AI-Components
- A Software Process Workflow for Smart Anomaly Detection Systems
- Exploring Challenges in Global Software Development
- Comparing the Locality Preservation of Z-order Curves and Hilbert Curves
Software Engineering - Los Angeles, United States - Essays
Description
Author :
Zizhuang Cui ; Jiacheng Li ; [ ]
Keywords :
space-filling curve ; Software engineering ; software testing ; taxonomy ;
Abstract :
Conventional methods for testing autonomous driving software often involve dealing with a large number of dimensions, which can complicate the processing and analysis of test datasets.
Therefore, there is a pressing need to develop a more efficient approach that is both time and cost-effective. READ MOREAuthor :
Iswarya Malleswaran ; Shruthi Dinakaran ; [ ]
Keywords :
Software engineering ; Requirement engineering ; Specification ; Safety ; Computer Science ; Engineering ; Machine learning ; Deep learning ; Runtime monitor ; Data Selection ; Data Collection ;
Abstract :
Safety is an important feature in automotive industry.
Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely.
READ MOREAuthor :
Vernita Gouws ; [ ]
Keywords :
anomaly detection ; predictive maintenance ; machine learning ; workflow ; software engineering process ; lifecycle ;
Abstract :
The use of smart anomaly detection systems is set to increase at organisations during the Industry 4.0 era, for use in Predictive Maintenance (PdM).
READ MOREAuthor :
Eun Young Cho ; [ ]
Keywords :
GSD ; communication ; collaboration ; challenges ; mitigation strategies ; distributed ;
Abstract :
Global Software Development (GSD) is a growing trend in the field of software engineering. However, despite its numerous benefits, GSD often encounters challenges in collaboration, leading to compromised product quality. READ MORE
Author :
Alex Nordin ; Adam Telles ; [ ]
Keywords :
space-filling curve ; software engineering ; software testing ;
Abstract :
Developing and testing software in the automotive industry and in the research of autonomous vehicles requires the costly querying of multidimensional data recorded from such a vehicle's various sensors.
Through encoding such data using space filling curves, faster queries could be achieved by reducing multiple dimensions into a singular dimension, while exploiting the patterns that emerge in the one-dimensional representation to still get accurate search results.
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