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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Bibliographic Details
Published in:2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) pp. 232 - 233
Main Authors: Weber, Max, Apel, Sven, Siegmund, Norbert
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2021
Subjects:
configuration management
Software engineering
Software measurement
software product lines
Software systems
software variability
ISBN:1665412194, 9781665412193
Online Access:Get full text
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Summary: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