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09/06/2023
EdgeFL: A Lightweight Decentralized Federated Learning Framework
Federated Learning (FL) has emerged as a promising approach for collabor...
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05/15/2023
DevServOps: DevOps For Product-Oriented Product-Service Systems
For companies developing web-based applications, the Dev and the Ops ref...
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07/01/2022
Bayesian causal inference in automotive software engineering and online evaluation
Randomised field experiments, such as A/B testing, have long been the go...
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02/04/2022
5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul
Fast and reliable wireless communication has become a critical demand in...
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12/14/2021
Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning
Fast and reliable connectivity is essential to enhancing situational awa...
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09/26/2021
Bayesian propensity score matching in automotive embedded software engineering
Randomised field experiments, such as A/B testing, have long been the go...
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07/06/2021
An architecture for enabling A/B experiments in automotive embedded software
A/B experimentation is a known technique for data-driven product develop...
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07/06/2021
Size matters? Or not: A/B testing with limited sample in automotive embedded software
A/B testing is gaining attention in the automotive sector as a promising...
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04/15/2021
On the Assessment of Benchmark Suites for Algorithm Comparison
Benchmark suites, i.e. a collection of benchmark functions, are widely u...
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03/22/2021
Real-time End-to-End Federated Learning: An Automotive Case Study
With the development and the increasing interests in ML/DL fields, compa...
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03/06/2021
On the experiences of adopting automated data validation in an industrial machine learning project
Background: Data errors are a common challenge in machine learning (ML) ...
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01/05/2021
The use of incentives to promote Technical Debt management
When developing software, it is vitally important to keep the level of t...
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12/01/2020
HPM-Frame: A Decision Framework for Executing Software on Heterogeneous Platforms
Heterogeneous computing is one of the most important computational solut...
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10/08/2020
Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions
Frequentist statistical methods, such as hypothesis testing, are standar...
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05/18/2020
Refactoring Software in the Automotive Domain for Execution on Heterogeneous Platforms
The most important way to achieve higher performance in computer systems...
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01/24/2020
Software Logging for Machine Learning
System logs perform a critical function in software-intensive systems as...
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01/16/2020
Engineering AI Systems: A Research Agenda
Deploying machine-, and in particular deep-learning, (ML/DL) solutions i...
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10/29/2018