activity
20092026
most citedMachine Learning Techniques for Software Quality Assurance: A Survey

8 citations · 26 across the 8 of their papers we have counts for

collaborators

10 papers

cs.SE2026

CANcept: Model-based CAN Traffic Generation and Manipulation

Lino Wertz, Junes Sheikhi, Florian Fehrle +5

Testing timing-related safety properties of Controller Area Network (CAN)-based software requires precise control over transmitted data and communication timing. Existing open-sour…

cs.SE2024★ 3 cited

Integrating Static Code Analysis Toolchains

Matthias Kern, Ferhat Erata, Markus Iser +4

This paper proposes an approach for a tool-agnostic and heterogeneous static code analysis toolchain in combination with an exchange format. This approach enhances both traceabilit…

cs.LG2022

Optimized Symbolic Interval Propagation for Neural Network Verification

Philipp Kern, Marko Kleine Büning, Carsten Sinz

Neural networks are increasingly applied in safety critical domains, their verification thus is gaining importance. A large class of recent algorithms for proving input-output rela…

cs.LG2021

Geometric Path Enumeration for Equivalence Verification of Neural Networks

Samuel Teuber, Marko Kleine Büning, Philipp Kern +1

As neural networks (NNs) are increasingly introduced into safety-critical domains, there is a growing need to formally verify NNs before deployment. In this work we focus on the fo…

cs.SE2021★ 8 cited

Machine Learning Techniques for Software Quality Assurance: A Survey

Safa Omri, Carsten Sinz

Over the last years, machine learning techniques have been applied to more and more application domains, including software engineering and, especially, software quality assurance.…

cs.AI2020

Collaborative Management of Benchmark Instances and their Attributes

Markus Iser, Luca Springer, Carsten Sinz

Experimental evaluation is an integral part in the design process of algorithms. Publicly available benchmark instances are widely used to evaluate methods in SAT solving. For the…