Experimental data for "Software Data Analytics: Architectural Model Discovery and Design Pattern Detection"

Datacite citation style

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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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

Organizations

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

DATA

Files (1)

  • 43,685,793 bytesMD5:97ab7049e9aa217f80f0ae8cb3ec168bdata.zip