12 citations · 15 across the 10 of their papers we have counts for
11 papers
Fetch Me If You Can: A Comprehensive Analysis of Fetch Metadata
Pedro Bernardo, Alex Ploner, Marco Squarcina +2
Effective server-side defenses against cross-site attacks depend on understanding the context in which browser requests are generated. However, servers often lack the information n…
PEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs
Erdem Uysal, Timo Kehrer, Sebastiano Panichella
Foundation models are increasingly used to drive autonomous systems, yet existing approaches either keep the model in a tight control loop, raising latency and hallucination risk,…
Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty
Prakash Aryan, Kaushik Raghupathruni, Timo Kehrer +1
Simulation-based testing of self-driving cars (SDCs) typically relies on scripted pedestrian models that do not capture the heterogeneity and uncertainty of real crossing behavior,…
MR-SLAM: Immersive Spatial Supervision for Multi-Robot Mapping via Mixed Reality
Prakash Aryan, Cem Erdogdu, Kavinaya Kumarchokkappan +2
Operating a multi-robot fleet for simultaneous localization and mapping (SLAM) in applications such as building inspection or warehouse-aisle monitoring requires the operator to ma…
Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations
Pooja Rani, Jan-Andrea Bard, June Sallou +3
The rapid technological evolution has accelerated software development for various domains and use cases, contributing to a growing share of global carbon emissions. While recent l…
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations
Pablo Valenzuela-Toledo, Chuyue Wu, Sandro Hernandez +4
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupt…
A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction
Christian Birchler, Sajad Khatiri, Pooja Rani +2
As the era of autonomous cyber-physical systems (ACPSs), such as unmanned aerial vehicles and self-driving cars, unfolds, the demand for robust testing methodologies is key to real…
How does Simulation-based Testing for Self-driving Cars match Human Perception?
Christian Birchler, Tanzil Kombarabettu Mohammed, Pooja Rani +3
Software metrics such as coverage and mutation scores have been extensively explored for the automated quality assessment of test suites. While traditional tools rely on such quant…
Diversity-guided Search Exploration for Self-driving Cars Test Generation through Frenet Space Encoding
Timo Blattner, Christian Birchler, Timo Kehrer +1
The rise of self-driving cars (SDCs) presents important safety challenges to address in dynamic environments. While field testing is essential, current methods lack diversity in as…
SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
Christian Birchler, Cyrill Rohrbach, Timo Kehrer +1
Developing tools in the context of autonomous systems [22, 24 ], such as self-driving cars (SDCs), is time-consuming and costly since researchers and practitioners rely on expensiv…
Energy Patterns for Web: An Exploratory Study
Pooja Rani, Jonas Zellweger, Veronika Kousadianos +3
As the energy footprint generated by software is increasing at an alarming rate, understanding how to develop energy-efficient applications has become a necessity. Previous work ha…