ASMS: A Metrics Suite to Measure Adaptive Strategies of Self-Adaptive Systems

Koen Kraaijveld, Claudia Raibulet, Claudia Raibulet

2023

Abstract

In the last two decades, research in Self-Adaptive Systems (SAS) has proposed various approaches for inducing a software system with the ability to change itself at runtime in terms of self-adaptation strategies. For the wider adoption of these strategies, there is a need for a framework and tool support to enable their analysis, evaluation, comparison, and eventually their selection in overlapping cases. In this paper, we take a step in this direction by proposing a comprehensive metric suite, i.e., the Adaptive Strategies Metric Suite (ASMS), to measure the design and runtime properties of the adaptive strategies for SAS. ASMS consists of metrics that can be applied through both static and dynamic code analysis. The metrics pertaining to static code analysis have been implemented as a plugin for Understand tool.

Paper Citation

in Harvard Style

Kraaijveld K. and Raibulet C. (2023). ASMS: A Metrics Suite to Measure Adaptive Strategies of Self-Adaptive Systems. In Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-647-7, SciTePress, pages 238-249. DOI: 10.5220/0011992800003464

in Bibtex Style

@conference{enase23,
author={Koen Kraaijveld and Claudia Raibulet},
title={ASMS: A Metrics Suite to Measure Adaptive Strategies of Self-Adaptive Systems},
booktitle={Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2023},
pages={238-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011992800003464},
isbn={978-989-758-647-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - ASMS: A Metrics Suite to Measure Adaptive Strategies of Self-Adaptive Systems
SN - 978-989-758-647-7
AU - Kraaijveld K.
AU - Raibulet C.
PY - 2023
SP - 238
EP - 249
DO - 10.5220/0011992800003464
PB - SciTePress