Sampling effect on performance prediction of configurable systems: A case study

J Alves Pereira, M Acher, H Martin… - Proceedings of the ACM …, 2020 - dl.acm.org
Numerous software systems are highly configurable and provide a myriad of configuration
options that users can tune to fit their functional and performance requirements (eg …

Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems

S Mühlbauer, F Sattler, C Kaltenecker… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Modern software systems often exhibit numerous configuration options to tailor them to user
requirements, including the system's performance behavior. Performance models derived …

Tradeoffs in modeling performance of highly configurable software systems

S Kolesnikov, N Siegmund, C Kästner… - Software & Systems …, 2019 - Springer
Modeling the performance of a highly configurable software system requires capturing the
influences of its configuration options and their interactions on the system's performance …

Learning to sample: Exploiting similarities across environments to learn performance models for configurable systems

P Jamshidi, M Velez, C Kästner… - … of the 2018 26th ACM Joint …, 2018 - dl.acm.org
Most software systems provide options that allow users to tailor the system in terms of
functionality and qualities. The increased flexibility raises challenges for understanding the …

Data-efficient performance learning for configurable systems

J Guo, D Yang, N Siegmund, S Apel, A Sarkar… - Empirical Software …, 2018 - Springer
Many software systems today are configurable, offering customization of functionality by
feature selection. Understanding how performance varies in terms of feature selection is key …

Mastering uncertainty in performance estimations of configurable software systems

J Dorn, S Apel, N Siegmund - Proceedings of the 35th IEEE/ACM …, 2020 - dl.acm.org
Understanding the influence of configuration options on performance is key for finding
optimal system configurations, system understanding, and performance debugging. In prior …

Transfer learning for performance modeling of configurable systems: An exploratory analysis

P Jamshidi, N Siegmund, M Velez… - 2017 32nd IEEE …, 2017 - ieeexplore.ieee.org
Modern software systems provide many configuration options which significantly influence
their non-functional properties. To understand and predict the effect of configuration options …

Performance-influence models for highly configurable systems

N Siegmund, A Grebhahn, S Apel… - Proceedings of the 2015 …, 2015 - dl.acm.org
Almost every complex software system today is configurable. While configurability has many
benefits, it challenges performance prediction, optimization, and debugging. Often, the …

Cost-efficient sampling for performance prediction of configurable systems (t)

A Sarkar, J Guo, N Siegmund, S Apel… - 2015 30th IEEE/ACM …, 2015 - ieeexplore.ieee.org
A key challenge of the development and maintenanceof configurable systems is to predict
the performance ofindividual system variants based on the features selected. It isusually …

Unicorn: Reasoning about configurable system performance through the lens of causality

MS Iqbal, R Krishna, MA Javidian, B Ray… - Proceedings of the …, 2022 - dl.acm.org
Modern computer systems are highly configurable, with the total variability space sometimes
larger than the number of atoms in the universe. Understanding and reasoning about the …