Machine learning-based software defect prediction for mobile applications: A systematic literature review

M Jorayeva, A Akbulut, C Catal, A Mishra - Sensors, 2022 - mdpi.com
Software defect prediction studies aim to predict defect-prone components before the testing
stage of the software development process. The main benefit of these prediction models is …

Randomly Selected Heterogenic Bagging with Cognitive Entity Metrics for Prediction of Heterogeneous Defects

FL John, JPJ John - International Journal of Performability …, 2021 - ijpe-online.com
Software failure prediction is a supervised learning approach that plays an essential part in
deciding the degree of software testing resources to be allocated. Due to data unavailability …

Deep Learning-Based Defect Prediction for Mobile Apps

M Jorayeva - 2022 - openaccess.iku.edu.tr
Mobile applications are increasing their popularity every year. However, unrecognized
defects within mobile applications can affect businesses due to negative user experience …