News

We are happy to announce that the following presentations and posters with contributions from our group were accepted at the 11th User Conference of Advanced Automated Testing (UCAAT) 2025 organised by the European Telecommunications Standards Institute (ETSI) and hosted by CERTH:

• Importance of Data Sharing for the Validation of Interaction-based Emotion Recognition for User Experience Evaluation
• Representativeness of Deep Learning Mutants in Simulating Real Faults
• Exploring the Landscape of Machine Learning Data Bugs: Frequency, Impacts, and Relationships for Enhanced Automation
• Generating Test Artifacts using Large Language Models
• Documentation Approaches for AI/ML Systems
• ETSI TR103910: Test Methodology and Test Specification for AI-enabled Systems
• TDL Takes on the Edge
• Towards a Harmonized Documentation Scheme for Trustworthy AI

We are pleased to announce that two papers from our research group have been accepted at the 16th System Analysis and Modeling Conference (SAM 2024). This year’s conference will take place on September 23rd and 24th, co-located with the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (MODELS 2024) in Linz, Austria.

Our accepted papers are:

• Exploring the Fundamentals of Mutations in Deep Neural Networks by Zaheed Ahmed and Philip Makedonski
• AI-based User Emotion Recognition from Interaction Data: Challenges and Guidelines for Training Data Creation by Carina Bieber, Patrick Harms, Dominick Leppich, and Katrin Proschek

We are delighted to announce that ETSI has approved our funding application for the AI Documentation project. This project will run for one year and aims to provide a harmonized documentation scheme for trustworthy AI. More details on the project can be found on the project homepage. 

We are happy to announce that our paper A New Perspective on the Competent Programmer Hypothesis Through the Reproduction of Real Faults with Repeated Mutations has been recently accepted by the Journal of Software: Testing, Verification and Reliability. Exploring the competent programmer hypothesis, this study examines the connection between mutation testing and real-world faults. By recreating faults through mutation chains, we assess the link's directness. Findings suggest validity of the competent programmer hypothesis yet highlight the need for important mutation operators to generate representative real-world faults.