Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study

<p>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:</p> <ul> <li>List of primary studies (01-primary-studies.csv)</li> <li>Established types of technical debt (02-established-td-types.csv)</li> <li>New types of technical debt (03-new-td-types.csv)</li> <li>Affected software quality attributes (04-affected-qas.csv)</li> <li>Identified antipatterns (05-antipatterns.csv)</li> <li>Reported solutions to address technical debt or antipatterns (06-solutions.csv)</li> </ul> <p>&nbsp;</p>