An Exploratory Study for Predicting Maintenance Effort using Hybridized Techniques. - Ruchika Malhotra; Kusum Lata 003 (ISEC, 2017)

Improving Software Maintainability Predictions using Data Oversampling and Hybridized Techniques. - Ruchika Malhotra; Kusum Lata 003 (CEC, 2020)

A systematic literature review on empirical studies towards prediction of software maintainability. - Ruchika Malhotra; Kusum Lata 003 (Soft Comput., 2020)

An empirical study on predictability of software maintainability using imbalanced data. - Ruchika Malhotra; Kusum Lata 003 (Softw. Qual. J., 2020)

An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models. - Ruchika Malhotra; Kusum Lata 003 (Neurocomputing, 2021)

Handling class imbalance problem in software maintainability prediction: an empirical investigation. - Ruchika Malhotra; Kusum Lata 003 (Frontiers Comput. Sci., 2022)