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Other ORP type . 2023
License: CC BY
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Risk-driven Online Testing and Test Case Diversity Analysis for ML-enabled Critical Systems (Replication Package)

Authors: Anonymous Author; Anonymous Author; Anonymous Author; Anonymous Author;

Risk-driven Online Testing and Test Case Diversity Analysis for ML-enabled Critical Systems (Replication Package)

Abstract

This repository contains the replication package as well as obtained results for the study titled "Risk-driven Online Testing and Test Case Diversity Analysis for ML-enabled Critical Systems". These include simulation control script, simulation file, test output and evaluation scripts. cais_scenario.ttt is the actual simulation file and is loaded into CoppeliaSim cais_zmq_[search algorithm].py is the control script for each search algorithm and connected via the ZMQ zmqRemoteApi package file clusterdata[search algorithm].csv contains the output from clustering all test evaluations for the respective algorithm result_evaluation.py is the evaluation script Distribution.pdf is related only to distribution of failed evaluations evaluation results.zip contains outcomes from test data analysis (grouped[0,1,2].pdf are boxplots for failed, false "positives" and passed evaluations respectively) README.md instructions to run replication package result_[search algorithm].csv all test evaluations per algorithm run_details_[search algorithm].csv objective function output and time taken for each test evaluation per algorithm vargha_delaney.py python module for Vargha Delaney effect size determination Note: Instructions to run the package can be found in README.md

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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