Performance-influence models for highly configurable systems

By Norbert Siegmund, A. Grebhahn, Sven Apel, Christian Kästner. ESEC/SIGSOFT FSE, 2015

298 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/80ba1b6e68453b1f8616f24f2db686be1bc2a262

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Frank Hutter
2. Katharina Eggensperger
3. Marius Thomas Lindauer
4. Holger H. Hoos
5. Aaron Klein
6. André Biedenkapp
7. Chris Fawcett
8. Marco F. Huber

In Computer Networks and Communications

1. Frank Hutter
2. Katharina Eggensperger
3. Holger H. Hoos
4. Marius Thomas Lindauer
5. André Biedenkapp
6. Chris Fawcett
7. Kevin Leyton-Brown
8. Marc-André Zöller

In Information Systems

1. Frank Hutter
2. Marius Thomas Lindauer
3. André Biedenkapp
4. Holger H. Hoos
5. Katharina Eggensperger

Citations in the corpus

• Efficient Parameter Importance Analysis via Ablation with Surrogates (2017, background): “To this end, different techniques have been proposed that score parameters based on their importance (Hutter, Hoos, and Leyton-Brown 2013; 2014; Siegmund et al. 2015; Fawcett and Hoos 2016).”