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#Dataset Package for the paper "An Empirical Characterization of Software Bugs in Open-Source Cyber-Physical Systems" Description of the content: 1) "1_RQ-CPS-bugs-Taxonomy" folder contains all the main experimental data concerning the issues sampled and analyzed from all the Projects considered in the study, including row-data on the taxonomy validtion steps. - Under "the sub-folder "1_Taxonomy-Raw-data" are reported the row-data concerning the taxonomy validtion steps 2) "2_Scripts" contains all scripts used to generate the issue data and sampled issue raw-data in the previous folders: - "setup.md" file in the folder describes how to set=up and run the script used for collecting and sampling the issues for the validation steps: - runJSONtoCSV.sh - JSONtoCSV.py - generateListOfAllSamples.py - generateAllSamples.r Under "the sub-folder "1_Scripts/1_Data_Collection": 3) "3_Final Taxonomy" folder contains the final Table representation (also reported in the previous folder) and main figures of the CPSs Bugs Taxonomy.
We thank Remy Egloff, Jan Willi, Davide Fontanella, Stefano Anzolut for their help in the labeling of GitHub issues. We gratefully acknowledges the Horizon 2020 (EU Commission) support for the project COSMOS (DevOps for Complex Cyber-physical Systems), Project No. 957254-COSMOS.
Cyber-Physical Systems, Open-source, Bugs, Defects Taxonomy
Cyber-Physical Systems, Open-source, Bugs, Defects Taxonomy
citations 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). | 0 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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