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

Dataset

• Artificial Intelligence and Image Processing
• Computer Software

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

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

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.

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

4TU.Centre for Research Data

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

• 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

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