Towards Repositories of Emergent Behaviors: an Initial Repository and a Supporting Tool

Systems-of-Systems (SoS) are composed of independent systems called constituents that, together, achieve a set of goals by means of emergent behaviors. Those behaviors can be deliberately planned as a combination of the individual functionalities (herein named as features) provided by the constituents. Currently, SoS engineers heavily rely on their own creativity and prior experience to combine the features and design the behaviors. In that sense, the main contribution of this paper is introducing a repository of emergent behaviors of SoS for supporting the engineering of behaviors in a SoS. An initial dataset was elaborated from a systematic mapping to feed the mechanism and a web-application was developed. Results revealed that the algorithm developed is capable of predicting feasible emergent behaviors for different sets of constituents, shedding light on the pressing need for more repositories of emerging SoS behaviors across multiple domains to feed the AI mechanisms that have emerged to assist in SoS engineering.

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Published
2025-06-08
DOI
https://doi.org/10.1109/sose66311.2025.11083790
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Towards Repositories of Emergent Behaviors: an Initial Repository and a Supporting Tool

Aparna Kumari, Valdemar Vicente Graciano Neto, Kanan Castro Silva, Arlindo Rodrigues Galvão Filho et al.
Advanced Text Analysis Techniques
article

Towards Repositories of Emergent Behaviors: an Initial Repository and a Supporting Tool

Aparna Kumari, Valdemar Vicente Graciano Neto, Kanan Castro Silva, Arlindo Rodrigues Galvão Filho, Flávio Horita
article en

Abstract

Systems-of-Systems (SoS) are composed of independent systems called constituents that, together, achieve a set of goals by means of emergent behaviors. Those behaviors can be deliberately planned as a combination of the individual functionalities (herein named as features) provided by the constituents. Currently, SoS engineers heavily rely on their own creativity and prior experience to combine the features and design the behaviors. In that sense, the main contribution of this paper is introducing a repository of emergent behaviors of SoS for supporting the engineering of behaviors in a SoS. An initial dataset was elaborated from a systematic mapping to feed the mechanism and a web-application was developed. Results revealed that the algorithm developed is capable of predicting feasible emergent behaviors for different sets of constituents, shedding light on the pressing need for more repositories of emerging SoS behaviors across multiple domains to feed the AI mechanisms that have emerged to assist in SoS engineering.

Nirma University (IN), Ordem dos Médicos (PT), Fundação do ABC (BR), Universidade Federal de Goiás (BR)
Fundação de Amparo à Pesquisa do Estado de Goiás
Openalex Percentile: Top 89%
Advanced Text Analysis Techniques
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