Florian Sattler

Orcid: 0000-0003-2523-1158

According to our database1, Florian Sattler authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Is Performance a Reliable Proxy for Energy Consumption?
Proceedings of the Software Engineering 2024, Fachtagung des GI-Fachbereichs Softwaretechnik, Linz, Austria, February 26, 2024

Performance Sensitivity Across Configuration and Workload.
Proceedings of the Software Engineering 2024, Fachtagung des GI-Fachbereichs Softwaretechnik, Linz, Austria, February 26, 2024

2023
SEAL: Integrating Program Analysis and Repository Mining.
ACM Trans. Softw. Eng. Methodol., September, 2023

Twins or False Friends? A Study on Energy Consumption and Performance of Configurable Software.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2021
Modeling the Effects of Global Variables in Data-Flow Analysis for C/C++.
Proceedings of the 21st IEEE International Working Conference on Source Code Analysis and Manipulation, 2021

2020
ConfigCrusher: towards white-box performance analysis for configurable systems.
Autom. Softw. Eng., 2020

2019
ConfigCrusher: White-Box Performance Analysis for Configurable Systems.
CoRR, 2019

Deep dimension reduction for spatial-spectral road scene classification.
Proceedings of the Autonomous Vehicles and Machines 2019, 2019

2018
Lifting inter-app data-flow analysis to large app sets.
Autom. Softw. Eng., 2018

2017
Hyperspectral Terrain Classification for Ground Vehicles.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

HyKo: A Spectral Dataset for Scene Understanding.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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