Safety Cases for Adaptive Systems of Systems: State of the Art and Current Challenges

Visualization has an increasingly important role to play in scientific research. Moreover, visualization has a special role to play within artificial life as a result of the informal status of its key explananda: life and complexity. Both are poorly defined but apparently identifiable via raw inspection. Here we concentrate on how visualization techniques might allow us to move beyond this situation by facilitating increased understanding of the relationships between an ALife system's (low-level) composition and organization and its (high-level) behavior. We briefly review the use of visualization within artificial life, and point to some future developments represented by the articles collected within this special issue.

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Influence of File Motion on Shaping, Apical Debris Extrusion and Dentinal Defects: A Critical Review

The Open Dentistry Journal ◽

10.2174/1874210601812010189 ◽

2018 ◽

Vol 12 (1) ◽

pp. 189-201 ◽

Cited By ~ 3

Author(s):

Victor Feliz Pedrinha ◽

Juliana Melo da Silva Brandão ◽

Oscar Faciola Pessoa ◽

Patrícia de Almeida Rodrigues

Keyword(s):

Adaptive Systems ◽

State Of The Art ◽

Inclusion Criteria ◽

Human Teeth ◽

Specific Analysis ◽

Apical Extrusion ◽

Wide Range ◽

The Relationship ◽

Shaping Ability

Advances in endodontics have enabled the evolution of file manufacturing processes, improving performance beyond that of conventional files. In the present study, systems manufactured using state of the art methods and possessing special properties related to NiTi alloys (i.e., CM-Wire, M-Wire and R-Phase) were selected. The aim of this review was to provide a detailed analysis of the literature about the relationship between recently introduced NiTi files with different movement kinematics and shaping ability, apical extrusion of debris and dentin defects in root canal preparations. From March 2016 to January 2017, electronic searches were conducted in the PubMed and SCOPUS databases for articles published since January 2010. In vitro studies performed on extracted human teeth and published in English were considered for this review. Based on the inclusion criteria, 71 papers were selected for the analysis of full-text copies. Specific analysis was performed on 45 articles describing the effects of reciprocating, continuous and adaptive movements on the WaveOne Gold, Reciproc, HyFlex CM and Twisted File Adaptive systems. A wide range of testing conditions and methodologies have been used to compare the systems. Due the controversies among the results, the characteristics of the files used, such as their design and alloys, appear to be inconsistent to determine the best approach.

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Modeling Collaborations in Adaptive Systems of Systems

Proceedings of the 2015 European Conference on Software Architecture Workshops - ECSAW '15 ◽

10.1145/2797433.2797436 ◽

2015 ◽

Cited By ~ 4

Author(s):

Sebastian Wätzoldt ◽

Holger Giese

Keyword(s):

Adaptive Systems ◽

Systems Of Systems

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Evaluation of Self-Healing Systems: An Analysis of the State-of-the-Art and Required Improvements

Computers ◽

10.3390/computers9010016 ◽

2020 ◽

Vol 9 (1) ◽

pp. 16 ◽

Cited By ~ 2

Author(s):

Sona Ghahremani ◽

Holger Giese

Keyword(s):

Adaptive Systems ◽

State Of The Art ◽

Parameter Tuning ◽

The State ◽

Prediction Errors ◽

Self Healing ◽

Design Time ◽

Input Type ◽

Deployment Time ◽

The Impact

Evaluating the performance of self-adaptive systems is challenging due to their interactions with often highly dynamic environments. In the specific case of self-healing systems, the performance evaluations of self-healing approaches and their parameter tuning rely on the considered characteristics of failure occurrences and the resulting interactions with the self-healing actions. In this paper, we first study the state-of-the-art for evaluating the performances of self-healing systems by means of a systematic literature review. We provide a classification of different input types for such systems and analyse the limitations of each input type. A main finding is that the employed inputs are often not sophisticated regarding the considered characteristics for failure occurrences. To further study the impact of the identified limitations, we present experiments demonstrating that wrong assumptions regarding the characteristics of the failure occurrences can result in large performance prediction errors, disadvantageous design-time decisions concerning the selection of alternative self-healing approaches, and disadvantageous deployment-time decisions concerning parameter tuning. Furthermore, the experiments indicate that employing multiple alternative input characteristics can help with reducing the risk of premature disadvantageous design-time decisions.

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