Cross-Project Fault Prediction using Artificial Intelligence

Abstract

Software defect prediction project focuses on finding errors or flaws in software and aiming to improve accuracy which gives evolution batch with detectable results while adding to modern outcomes and advancement liability foretelling defective code regions can assist initiators with recognizing bugs and arrange their test activities. The percentage of groups providing the legitimate foretelling is fundamental for early identification.

Authors and Affiliations

Niharika N Govinda, Lohith R, Ratnam Kumar Jha, H L Gururaj

Keywords

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  • EP ID EP724404
  • DOI https://doi.org/10.61797/ijbic.v2i1.204
  • Views 57
  • Downloads 0

How To Cite

Niharika N Govinda, Lohith R, Ratnam Kumar Jha, H L Gururaj (2023). Cross-Project Fault Prediction using Artificial Intelligence. International Journal of Bioinformatics and Intelligent Computing, 2(1), -. https://europub.co.uk/articles/-A-724404