This is the replication package of the systematic literature review submited to the IST journal (under review). The reposiroty contains all the material required for replicating the study, including: a complete list of papers, and all the data analysis phases.
It has been designed, performed, and reported by the following researchers:
- Mohamed Soliman - Paderborn University, Paderborn, Germany
- Ivano Malavolta - Vrije Universiteit Amsterdam, S2Group - The Netherlands
- Michel Albonic - Federal University of Technology, Paraná, IntelAgir - Brazil
- Andreas Wortmann - University of Stuttgart, ISW - Germany
For any information, interested researchers can contact us by sending an email to any of the investigators listed above.
The directory is structured as follows:
scripts/dblp_search.py Script for initial paper crawling.
data/studies_selection.csv Spreadsheet with the alld the studies.
data/thematic_analysis.csv Spreadsheet with the thematic analysis.
data/system_names.csv Spreadsheet with the list of systems.
data/graph_generation.xlsx Spreadsheet used for graph generation.
The spreadsheet for graph generation is also available online.
If you are interested in replicating our papers' crawling, here are a few details that can help you.
You must be in the scripts folder:
$ cd scripts/Then, you must download the last DBLP snapshot and extract it in the scripts folder (it's a big file > 4GB), and download the compatible document type definition (DTD) file - usually the first one after the downloaded XML file.
Now, it is time to set everything (snapshot file, year range, etc.) at the beginning of the dblp_search.py file. We plan to use a properties file for this shortly.
Once everything is set, you run the dblp_search.py script, and the papers should be selected (it will be a bit long given the file size).
$ python3 dblp_search.py > papers.csvThe snowballing was manually conducted, assisted with the Zotero tool.
This repository is licensed under MIT license.