A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

Author:

Pachouly Jalaj,Ahirrao SwatiORCID,Kotecha KetanORCID,Selvachandran GaneshsreeORCID,Abraham Ajith

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference123 articles.

1. Mining historical software testing outcomes to predict future results;Abdulshaheed;Compusoft,2019

2. Is better data better than better data miners?;Agrawal,2018

3. Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods;Akour;Int. J. Data Anal. Tech. Strateg.,2017

4. Software defect prediction using variant based ensemble learning and feature selection techniques;Ali;Int. J. Modern Educ. Comput. Sci.,2020

5. Cambridge university study states software bugs cost economy dollar 312 billion per year;Anon,2013

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