Automatic techniques for issue report classification: A systematic mapping study
Crossref DOI link: https://doi.org/10.1007/s10515-026-00616-x
Published Online: 2026-05-04
Published Print: 2026-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Laiq, Muhammad
Dobslaw, Felix
Funding for this research was provided by:
Mid Sweden University
Text and Data Mining valid from 2026-05-04
Version of Record valid from 2026-05-04
Article History
Received: 25 April 2025
Accepted: 16 March 2026
First Online: 4 May 2026
Declarations
:
: The authors declare no competing interests.