Converting Traces of In-Memory Database Systems to OPEN.XTRACE on the Example of SAP HANA. - Maximilian Barnert; Adrian Streitz; Harald Kienegger; Helmut Krcmar (Softwaretechnik-Trends, 2017)

Performance Improvement Barriers for SAP Enterprise Applications: An Analysis of Expert Interviews. - Adrian Streitz; Maximilian Barnert; Harald Kienegger; Helmut Krcmar (ICPE, 2018)

ProteomicsDB. - Tobias Schmidt 003; Patroklos Samaras; Martin Frejno; Siegfried Gessulat; Maximilian Barnert; Harald Kienegger; Helmut Krcmar; Judith Schlegl; Hans-Christian Ehrlich; Stephan Aiche; Bernhard Küster; Mathias Wilhelm 001 (Nucleic Acids Res., 2018)

Using OPEN.xtrace and Architecture-Level Models to Predict Workload Performance on In-Memory Database Systems. - Maximilian Barnert; Adrian Streitz; Johannes Rank; Harald Kienegger; Helmut Krcmar (Softwaretechnik-Trends, 2019)

Towards Model-based Performance Predictions of SAP Enterprise. - Adrian Streitz; Maximilian Barnert; Johannes Rank; Harald Kienegger; Helmut Krcmar (Softwaretechnik-Trends, 2019)

Supporting Backward Transitions within Markov Chains when Modeling Complex User Behavior in the Palladio Component Model. - Maximilian Barnert; Helmut Krcmar (Softwaretechnik-Trends, 2020)

Simulation of In-Memory Database Workload: Markov Chains versus Relative Invocation Frequency and Equal Probability - A Trade-off between Accuracy and Time. - Maximilian Barnert; Helmut Krcmar (ICPE, 2021)

Predicting Scaling Efficiency of Distributed Stream Processing Systems via Task Level Performance Simulation. - Johannes Rank; Maximilian Barnert; Andreas Hein 002; Helmut Krcmar (Softwaretechnik-Trends, 2023)