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.

Kraaijveld, K., Raibulet, C. (2023). ASMS: A Metrics Suite to Measure Adaptive Strategies of Self-Adaptive Systems. In International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings (pp.238-249). Science and Technology Publications, Lda [10.5220/0011992800003464].

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

Raibulet, C
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
Adaptive Strategy; Architecture-based Self-Adaptation; Evaluation; Self-Adaptive System; Software Metrics;
English
18th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2023 - 24 April 2023through 25 April 2023
2023
International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings
9789897586477
2023
2023-April
238
249
open
Kraaijveld, K., Raibulet, C. (2023). ASMS: A Metrics Suite to Measure Adaptive Strategies of Self-Adaptive Systems. In International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings (pp.238-249). Science and Technology Publications, Lda [10.5220/0011992800003464].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/464880
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