| Soft computing approaches for prediction of software maintenance effort A Kaur, K Kaur, R Malhotra International Journal of Computer Applications 1 (16), 2010 | 83 | 2010 |
| Statistical comparison of modelling methods for software maintainability prediction A Kaur, K Kaur International Journal of Software Engineering and Knowledge Engineering 23 …, 2013 | 50 | 2013 |
| An empirical study of software entropy based bug prediction using machine learning A Kaur, K Kaur, D Chopra International Journal of System Assurance Engineering and Management 8 (2 …, 2017 | 32 | 2017 |
| Software maintainability prediction by data mining of software code metrics A Kaur, K Kaur, K Pathak Data Mining and Intelligent Computing (ICDMIC), 2014 International …, 2014 | 30 | 2014 |
| Performance analysis of ensemble learning for predicting defects in open source software A Kaur, K Kaur Advances in Computing, Communications and Informatics (ICACCI, 2014 …, 2014 | 26 | 2014 |
| An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction A Kaur, K Kaur Advances in Intelligent Informatics, 383-397, 2015 | 22 | 2015 |
| A proposed new model for maintainability index of open source software A Kaur, K Kaur, K Pathak Reliability, Infocom Technologies and Optimization (ICRITO)(Trends and …, 2014 | 20 | 2014 |
| Predicting software change-proneness with code smells and class imbalance learning A Kaur, K Kaur, S Jain 2016 International Conference on Advances in Computing, Communications and …, 2016 | 16 | 2016 |
| An investigation of the accuracy of code and process metrics for defect prediction of mobile applications A Kaur, K Kaur, H Kaur 2015 4th International Conference on Reliability, Infocom Technologies and …, 2015 | 16 | 2015 |
| Application of machine learning on process metrics for defect prediction in mobile application A Kaur, K Kaur, H Kaur Information Systems Design and Intelligent Applications: Proceedings of …, 2016 | 15 | 2016 |
| Benchmarking Deep Learning Methods for Aspect Level Sentiment Classification T Sharma, K Kaur Applied Sciences 11 (22), 10542, 2021 | 13 | 2021 |
| Evaluation of sampling techniques in software fault prediction using metrics and code smells K Kaur, P Kaur 2017 International Conference on Advances in Computing, Communications and …, 2017 | 11 | 2017 |
| Evaluation of machine learning approaches for change-proneness prediction using code smells K Kaur, S Jain Proceedings of the 5th International Conference on Frontiers in Intelligent …, 2017 | 11 | 2017 |
| Alternative methods to rank the impact of object oriented metrics in fault prediction modeling using neural networks K Kaur, A Kaur, R Malhotra Transactions on Engineering, Computing and Technology 13, 207-212, 2006 | 11 | 2006 |
| A hybrid SOM-Fuzzy time series (SOMFTS) technique for future forecasting of COVID-19 cases and MCDM based evaluation of COVID-19 forecasting models A Kumar, K Kaur 2021 International Conference on Computing, Communication, and Intelligent …, 2021 | 9 | 2021 |
| Entropy based bug prediction using neural network based regression A Kaur, K Kaur, D Chopra International Conference on Computing, Communication & Automation, 168-174, 2015 | 8 | 2015 |
| Value and applicability of academic projects defect datasets in cross-project software defect prediction A Kaur, K Kaur 2016 2nd International Conference on Computational Intelligence and Networks …, 2016 | 7 | 2016 |
| Aspect sentiment classification using syntactic neighbour based attention network T Sharma, K Kaur Journal of King Saud University-Computer and Information Sciences 35 (2 …, 2023 | 6 | 2023 |
| SOM-FTS: A Hybrid Model for Software Reliability Prediction and MCDM-Based Evaluation. A Kumar, K Kaur International Journal of Engineering & Technology Innovation 12 (4), 2022 | 4 | 2022 |
| Application of Locally Weighted Regression for Predicting Faults Using Software Entropy Metrics A Kaur, K Kaur, D Chopra Proceedings of the Second International Conference on Computer and …, 2016 | 4 | 2016 |
