Dr. Kusum Lata

kusumlata@dtu.ac.in

Phone:09205109180
Email: kusumlata@dtu.ac.in

Qualifications

B.Tech (Computer Sc. & Engg.), M.E (Computer Technology and Applications), Ph.D (Computer Sc. & Engg.), Qualified UGC-NET (Computer Sc. & Applications)

Areas of Interest

Machine Learning, Data Mining, Software Quality and Metrics, Data Analytics, Information Systems

Publications:

  • Malhotra, Ruchika, and Kusum Lata. "An empirical study on predictability of software maintainability using imbalanced data." Software Quality Journal 28.4 (2020): 1581-1614. (SCIE)
  • Malhotra, Ruchika, and Kusum Lata. "A systematic literature review on empirical studies towards prediction of software maintainability." Soft Computing 24, no. 21 (2020): 16655-16677.(SCIE)
  • Malhotra, Ruchika, and Kusum Lata. "An exploratory study for predicting maintenance effort using hybridized techniques." In Proceedings of the 10th innovations in software engineering conference, pp. 26-33. 2017.
  • Malhotra, Ruchika, and Kusum Lata. "An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models." Neurocomputing 459 (2021): 432-453. (SCIE)
  • Malhotra, Ruchika, and Kusum Lata. "Handling class imbalance problem in software maintainability prediction: an empirical investigation." Frontiers of Computer Science 16 (2022): 1-14. (SCIE)
  • Malhotra, Ruchika, and Kusum Lata. "On the application of cross-project validation for predicting maintainability of open source software using machine learning techniques." In 2018 7th international conference on reliability, Infocom technologies and optimization (trends and future directions)(ICRITO), pp. 175-181. IEEE, 2018.
  • Sharma, Nidhi, Anchal Pathak, B. Latha Lavanya, Naval Garg, and Kusum Lata. "Exploring the psychometric properties of personal optimism and self-efficacy optimism-extended (POSO-E) scale among Indian teachers." Benchmarking: An International Journal 30, no. 7 (2023): 2234-2247. (Scopus Indexted)
  • Lata, Kusum, and Naval Garg. "Predicting non-violent work behaviour among employees using machine learning techniques." International Journal of Conflict Management 34, no. 5 (2023): 931-944. (ABDC A)
  • Malhotra, Ruchika, and Kusum Lata. "Using ensembles for class-imbalance problem to predict maintainability of open source software." International Journal of Reliability, Quality and Safety Engineering 27, no. 05 (2020): 2040011. (ESCI)
  • Rao, Kunal, Pawan Raj Gopal, and Kusum Lata. "Computational analysis of machine learning algorithms to predict heart disease." In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 960-964. IEEE, 2021.
  • Malhotra, Ruchika, and Kusum Lata. "Improving software maintainability predictions using data oversampling and hybridized techniques." In 2020 IEEE Congress on Evolutionary Computation (CEC), pp. 1-7. IEEE, 2020.
  • Malhotra, Ruchika, and Kusum Lata. "Analysis of hybridized techniques with class imbalance learning for predicting software maintainability." International Journal of Reliability, Quality and Safety Engineering 30, no. 02 (2023): 2350006. (ESCI)
  • Lata, Kusum. "On the efficacy of boosting-based ensemble learning techniques for predicting employee absenteeism." In Computational Intelligence: Select Proceedings of InCITe 2022, pp. 179-187. Singapore: Springer Nature Singapore, 2023.
  • Lata, Kusum, and Naval Garg. "Predicting Leadership Flexibility Using Supervised Learning Techniques." Global Journal of Flexible Systems Management (2025): 1-16. (ABDC A)
  • Tayal, Charu, Rajesh Sharma, and Kusum Lata. "Examining maternal healthcare service utilization as a determinant of child health outcomes in India: Demographic and Health Survey 2019–21." Children's Health Care (2025): 1-22.
  • Tayal, Charu, Rajesh Sharma, and Kusum Lata. "Association between women’s autonomy and reproductive health outcomes in India." Journal of Medicine, Surgery, and Public Health 4 (2024): 100156.
  • Tayal, Charu, Rajesh Sharma, and Kusum Lata. "Concomitant Factors Influencing Breastfeeding Practices in India: Evidence from Demographic and Health Survey 2019–21." Global Social Welfare (2025): 1-14. (ESCI)
  • Malhotra, Ruchika, and Kusum Lata. "Tackling the Imbalanced Data in Software Maintainability Prediction Using Ensembles for Class Imbalance Problem." Advances in Interdisciplinary Research in Engineering and Business Management (2021): 391-399.

 

Last Updated : 2025-03-31 16:10:52