280 citations · 436 across the 21 of their papers we have counts for
11 papers · 1 filter
Constraint-Guided Test Execution Scheduling: An Experience Report at ABB Robotics
Arnaud Gotlieb, Morten Mossige, Helge Spieker
Automated test execution scheduling is crucial in modern software development environments, where components are frequently updated with changes that impact their integration with…
Software Testing for Machine Learning
Dusica Marijan, Arnaud Gotlieb
Machine learning has become prevalent across a wide variety of applications. Unfortunately, machine learning has also shown to be susceptible to deception, leading to errors, and e…
Industry-Academia Research Collaboration in Software Engineering: The Certus Model
Dusica Marijan, Arnaud Gotlieb
Context: Research collaborations between software engineering industry and academia can provide significant benefits to both sides, including improved innovation capacity for indus…
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques
Mohit Kumar Ahuja, Arnaud Gotlieb, Helge Spieker
Deep Learning (DL) has revolutionized the capabilities of vision-based systems (VBS) in critical applications such as autonomous driving, robotic surgery, critical infrastructure s…
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…