14 citations · 28 across the 4 of their papers we have counts for
10 papers
Predictive Machine Learning of Objective Boundaries for Solving COPs
Helge Spieker, Arnaud Gotlieb
Solving Constraint Optimization Problems (COPs) can be dramatically simplified by boundary estimation, that is, providing tight boundaries of cost functions. By feeding a supervise…
Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction
Helge Spieker
Reinforcement Learning (RL) agents have great successes in solving tasks with large observation and action spaces from limited feedback. Still, training the agents is data-intensiv…
A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits
Steffen Herbold, Alexander Trautsch, Benjamin Ledel +45
Context: Tangled commits are changes to software that address multiple concerns at once. For researchers interested in bugs, tangled commits mean that they actually study not only…
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé +7
Trustworthiness is a central requirement for the acceptance and success of human-centered artificial intelligence (AI). To deem an AI system as trustworthy, it is crucial to assess…
Adaptive Metamorphic Testing with Contextual Bandits
Helge Spieker, Arnaud Gotlieb
Metamorphic Testing is a software testing paradigm which aims at using necessary properties of a system-under-test, called metamorphic relations, to either check its expected outpu…
Time-aware Test Case Execution Scheduling for Cyber-Physical Systems
Morten Mossige, Arnaud Gotlieb, Helge Spieker +2
Testing cyber-physical systems involves the execution of test cases on target-machines equipped with the latest release of a software control system. When testing industrial robots…