Encoding Adaptability of Software Engineering Tools as Algorithm Configuration Problem: A Case Study

Nowadays software is often highly configurable, and the required adaptation is a complex and tedious task when performed manually. Moreover, hand-crafted configurations are often far from optimal. In this paper, we study the software configuration problem in the context of the model comparison tool...

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Veröffentlicht in:	2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW) S. 86 - 89
Hauptverfasser:	Basmer, Maike, Kehrer, Timo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2019
Schlagworte:	adaptability Adaptation models automated algorithm configuration Conferences Context modeling Encoding Machine learning algorithms Optimization SiDiff SMAC Software Software algorithms Software engineering Software engineering tools Tuning
Online-Zugang:	Volltext
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