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DISCo-Dipartimento di Informatica, Sistemistica e Comunicazione, Universita’ Degli Studi di Milano - Bicocca, Viale Sarca, 336, Edificio 14, Milan, Italy

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1 Papers

SAS vs. NSAS: Analysis and Comparison of Self-Adaptive Systems and Non-Self-Adaptive Systems based on Smells and Patterns

Topics: Software Metrics; Software Patterns and Refactoring; Software and System Quality Management

Authors: Claudia Raibulet , Francesca Arcelli Fontana and Simone Carettoni

Affiliation: DISCo-Dipartimento di Informatica, Sistemistica e Comunicazione, Universita’ Degli Studi di Milano - Bicocca, Viale Sarca, 336, Edificio 14, Milan, Italy

Digital Object Identifier: 10.5220/0009513504900497

Proceedings of ENASE 2020, ISBN: 978-989-758-421-3

Quick Abstract

Self-Adaptive Systems are usually built of a managed part, implementing their functionality, and a managing part, implementing their self-adaptation. The complexity of self-adaptive systems results also from the existence of the managing part and the interaction between the managed and the managing parts. The non-self-adaptive systems may be seen as the managed part of self-adaptive systems. The self-adaptive systems are evaluated based on their performances resulted from the self-adaptation. However, self-adaptive systems are software systems, hence, also their software quality is equally important. Our analysis compares the internal quality of self-adaptive and non-self-adaptive systems by considering code smells, architectural smells, and GoF’s design patterns. This comparison provides an insight to the health of the self-adaptive systems with respect to the non-self-adaptive systems (the last being considered as a quality reference).