Lorenz Klampfl

Investigating the Effectiveness of Mutation Testing Tools in the Context of Deep Neural Networks

Franz Wotawa, Nour Chetouane, Lorenz Klampfl, 2019, IWANN.

Explaining Object Motion Using Answer Set Programming

Franz Wotawa, Lorenz Klampfl, F. Wotawa, 2020, ISMIS.

Mutation Testing for Artificial Neural Networks: An Empirical Evaluation

Franz Wotawa, Nour Chetouane, Lorenz Klampfl, 2020, 2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS).

A framework for the automation of testing computer vision systems

Franz Wotawa, Lorenz Klampfl, Ledio Jahaj, 2021, 2021 IEEE/ACM International Conference on Automation of Software Test (AST).

Automatic Generation of Challenging Road Networks for ALKS Testing based on Bezier Curves and Search pdf

Franz Wotawa, Florian Klück, Lorenz Klampfl, 2021, ArXiv.

GABezier at the SBST 2021 Tool Competition

Franz Wotawa, Florian Klück, Lorenz Klampfl, 2021, 2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST).

Critical and Challenging Scenario Generation based on Automatic Action Behavior Sequence Optimization: 2021 IEEE Autonomous Driving AI Test Challenge Group 108

Florian Klück, Martin Zimmermann, Lorenz Klampfl, 2021, 2021 IEEE International Conference on Artificial Intelligence Testing (AITest).