Prediction of software fault-prone classes using ensemble random forest with adaptive synthetic sampling algorithm
Crossref DOI link: https://doi.org/10.1007/s10515-021-00311-z
Published Online: 2021-11-29
Published Print: 2022-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Balaram, A.
Vasundra, S.
Text and Data Mining valid from 2021-11-29
Version of Record valid from 2021-11-29
Article History
Received: 7 May 2021
Accepted: 14 November 2021
First Online: 29 November 2021
Declarations
:
: The authors declare that they have no conflict of interest.