6 citations · 10 across the 6 of their papers we have counts for
7 papers
On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund +2
Determining whether a configurable software system has a performance bug or it was misconfigured is often challenging. While there are numerous debugging techniques that can suppor…
White-Box Performance-Influence Models: A Profiling and Learning Approach
Max Weber, Sven Apel, Norbert Siegmund
Many modern software systems are highly configurable, allowing the user to tune them for performance and more. Current performance modeling approaches aim at finding performance-op…
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund +2
Performance-influence models can help stakeholders understand how and where configuration options and their interactions influence the performance of a system. With this understand…
Predicting Performance of Software Configurations: There is no Silver Bullet
Alexander Grebhahn, Norbert Siegmund, Sven Apel
Many software systems offer configuration options to tailor their functionality and non-functional properties (e.g., performance). Often, users are interested in the (performance-)…
ConfigCrusher: Towards White-Box Performance Analysis for Configurable Systems
Miguel Velez, Pooyan Jamshidi, Florian Sattler +3
Stakeholders of configurable systems are often interested in knowing how configuration options influence the performance of a system to facilitate, for example, the debugging and o…
On the Relation of External and Internal Feature Interactions: A Case Study
Sergiy Kolesnikov, Norbert Siegmund, Christian Kästner +1
Detecting feature interactions is imperative for accurately predicting performance of highly-configurable systems. State-of-the-art performance prediction techniques rely on superv…