Please use this identifier to cite or link to this item:
Title: Testing the robustness of controllers for self-adaptive systems
Authors: Cámara, Javier
Lemos, Rogério de 
Laranjeiro, Nuno 
Ventura, Rafael
Vieira, Marco 
Keywords: Robustness testing; Controller; Self-adaptive system; Autonomic system
Issue Date: 2014
Publisher: Springer Nature
Project: FCT project CMU-PT/ELE/0030/2009 
FEDER via the ‘Programa Operacional Factores de Competitividade’ of QREN with COMPETE reference: FCOMP-01-0124-FEDER-012983. 
Serial title, monograph or event: Journal of the Brazilian Computer Society
Volume: 20
Issue: 1
Abstract: Self-adaptive systems are software-intensive systems endowed with the ability to respond to a variety of changes that may occur in their environment, goals, or the system itself by adapting their structure and behaviour at run-time in an autonomous way. Controllers are complex components incorporated in self-adaptive systems, which are crucial to their function since they are in charge of adapting the target system by executing actions through effectors, based on information monitored by probes. However, although controllers are becoming critical in many application domains, so far very little has been done to assess their robustness. In this paper, we propose an approach for evaluating the robustness of controllers for self-adaptive software systems, aiming to identify faults in their design. Our proposal considers the stateful nature of the controller and identifies a set of robustness tests, which includes the provision of mutated inputs to the interfaces between the controller and the target system (i.e. probes). The feasibility of the approach is evaluated on Rainbow, a framework for architecture-based self-adaptation, and in the context of the case study.
ISSN: 0104-6500
DOI: 10.1186/1678-4804-20-1
Rights: openAccess
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais

Show full item record

Page view(s)

checked on Jun 12, 2024


checked on Jun 12, 2024

Google ScholarTM




This item is licensed under a Creative Commons License Creative Commons