White-Box Performance-Influence Models: A Profiling and Learning Approach (Replication Package)

These artifacts refer to the study and implementation of the paper 'White-Box Performance-Influence Models: A Profiling and Learning Approach'. In this document, we describe the idea and process of how to build white-box performance models for configurable software systems. Specifically, w...

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Veröffentlicht in:2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) S. 232 - 233
Hauptverfasser: Weber, Max, Apel, Sven, Siegmund, Norbert
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2021
Schlagworte:
configuration management
Software engineering
Software measurement
software product lines
Software systems
software variability
ISBN:1665412194, 9781665412193
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:These artifacts refer to the study and implementation of the paper 'White-Box Performance-Influence Models: A Profiling and Learning Approach'. In this document, we describe the idea and process of how to build white-box performance models for configurable software systems. Specifically, we describe the general steps and tools that we have used to implement our approach, the data we have obtained, and the evaluation setup. We further list the available artifacts, such as raw measurements, configurations, and scripts at our software heritage repository.
ISBN:1665412194
9781665412193
DOI:10.1109/ICSE-Companion52605.2021.00107