Published January 22, 2021
| Version v1
Dataset
Open
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
- 1. University of Stuttgart
- 2. Vrije Universiteit Amsterdam
Description
All artifacts related to a systematic mapping study on technical debt and antipatterns in AI-based systems; the data consists of an Excel file (00-all-data.xlsx) which includes a tab for all important constructs plus a separate CSV file per construct:
- List of primary studies (01-primary-studies.csv)
- Established types of technical debt (02-established-td-types.csv)
- New types of technical debt (03-new-td-types.csv)
- Affected software quality attributes (04-affected-qas.csv)
- Identified antipatterns (05-antipatterns.csv)
- Reported solutions to address technical debt or antipatterns (06-solutions.csv)
Files
01-primary-studies.csv
Files
(107.4 kB)
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