Liu, Cong (2019): Experimental data for "Software Data Analytics: Architectural Model Discovery and Design Pattern Detection". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:ca1b0690-d9c5-4626-a067-525ec9d5881b

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Categories

• Artificial Intelligence and Image Processing
• Computer Software

Keywords

Data mining dissertation Open-source software log Pattern detection Process mining Software event log Systematic data processing

Licence

CC0

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by Cong Liu

This dataset includes all experimental data used for the PhD thesis of Cong Liu, entitled "Software Data Analytics: Architectural Model Discovery and Design Pattern Detection". These data are generated by instrumenting both synthetic and real-life software systems, and are formated according to the IEEE XES format. See http://www.xes-standard.org/ and https://www.win.tue.nl/ieeetfpm/lib/exe/fetch.php?media=shared:downloads:2017-06-22-xes-software-event-v5-2.pdf for more explanations.

History

• 2019-01-29 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/java-archive, application/pdf, application/vnd.openxmlformats-officedocument.wordprocessingml.document, application/x-gzip, application/x-rar-compressed, application/zip, image/png, text/plain, text/x-java, text/xml

References

• https://doi.org/10.1109/SSCI.2016.7849947
• https://doi.org/10.1145/3183440.3194947
• https://doi.org/10.1145/3196321.3196338
• https://doi.org/10.2312/eurovisshort.20181074
• https://doi.org/10.5220/0006688000650076
• https://research.tue.nl/en/publications/software-architectural-model-discovery-from-execution-data

Organizations

TU Eindhoven, Department of Mathematics and Computer Science Information Systems WSK&I