https://github.com/lesunb/jss-2022-replication-package
Replication package of the paper titled "An Architecture for Mission Coordination of Heterogeneous Robots"
Science Score: 10.0%
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Low similarity (5.7%) to scientific vocabulary
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Replication package of the paper titled "An Architecture for Mission Coordination of Heterogeneous Robots"
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Metadata Files
README.md
JSS 2022 - Replication Package
This is the replication package of the paper entitled "An Architecture for Mission Coordination of Heterogeneous Robots" submitted to the Internation Journal of Systems and Software.
This study has been conducted by the following investigators:
- Gabriel Rodrigues (University of Braslia, Brazil)
- Ricardo Caldas (Chalmers University of Technology, Sweden)
- Gabriel Araujo (University of Braslia, Brazil)
- Vicente de Moraes (University of Braslia, Brazil)
- Genana Rodrigues (University of Braslia, Brazil)
- Patrizio Pellicione (Gran Sasso Scientific Institute (GSSI), Italy)
Overview of the replication package
architectureinspection: Artifacts for reproducing the architecture inspection process of Section 6.2
<a href="/architectureinspection/integrability/">integrability: Contains the working model for answering "How integrable is MissionControl?"
modifiability: Contains the working model for answering "How modifiable is MissionControl?"
controlledexperiment: Artifacts for repeating the controlled experiments of Section 6.1
<a href="/controlledexperiment/analysisscripts/">analysisscripts: Jupyter scripts for analysis of the datasets
dataset: Dataset generated from running the simulations
morsesimulation: Tooling for executing the controlled experiments
<a href="/controlledexperiment/results/">results: Graphs and plots
hmrsmissioncontrol: Implementation of MissionControl
Owner
- Name: LaDeCIC - Software Dependability @CIC
- Login: lesunb
- Kind: organization
- Location: Department of Computer Science - University of Brasilia
- Website: http://les.unb.br/ladecic
- Repositories: 16
- Profile: https://github.com/lesunb
Lab for research on methods, techniques and tools on dependability software systems at CIC
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Dependencies
- matplotlib >=3.0.2
- numpy >=1.16.2
- pandas >=1.2.4
- scikit-learn *
- seaborn >=0.11.1
- matplotlib >=3.0.2
- numpy >=1.16.2
- pandas >=1.2.4
- scikit-learn >=0.24.2
- seaborn >=0.11.1