| Investigation of relationship between object-oriented metrics and change proneness R Malhotra, M Khanna International Journal of Machine Learning and Cybernetics 4, 273-286, 2013 | 84 | 2013 |
| An empirical study for software change prediction using imbalanced data R Malhotra, M Khanna Empirical Software Engineering 22, 2806-2851, 2017 | 74 | 2017 |
| An exploratory study for software change prediction in object-oriented systems using hybridized techniques R Malhotra, M Khanna Automated Software Engineering 24, 673-717, 2017 | 52 | 2017 |
| On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions R Malhotra, M Khanna, RR Raje Swarm and Evolutionary Computation 32, 85-109, 2017 | 47 | 2017 |
| Particle swarm optimization-based ensemble learning for software change prediction R Malhotra, M Khanna Information and Software Technology 102, 65-84, 2018 | 34 | 2018 |
| Mining the impact of object oriented metrics for change prediction using machine learning and search-based techniques R Malhotra, M Khanna 2015 International Conference on Advances in Computing, Communications and …, 2015 | 21 | 2015 |
| Dynamic selection of fitness function for software change prediction using particle swarm optimization R Malhotra, M Khanna Information and Software Technology 112, 51-67, 2019 | 20 | 2019 |
| Inter Project Validation for Change Proneness Prediction using Object Oriented Metrics R Malhotra, M Khanna Software engineering: An International Journal 3 (1), 21-31, 2013 | 16 | 2013 |
| A new metric for predicting software change using gene expression programming R Malhotra, M Khanna Proceedings of the 5th International Workshop on Emerging Trends in Software …, 2014 | 15 | 2014 |
| Software change prediction: A systematic review and future guidelines R Malhotra, M Khanna e-Informatica Software Engineering Journal 13 (1), 2019 | 14 | 2019 |
| Threats to validity in search‐based predictive modelling for software engineering R Malhotra, M Khanna IET Software 12 (4), 293-305, 2018 | 14 | 2018 |
| Prediction of change prone classes using evolution-based and object-oriented metrics R Malhotra, M Khanna Journal of Intelligent & Fuzzy Systems 34 (3), 1755-1766, 2018 | 10 | 2018 |
| Software change prediction using voting particle swarm optimization based ensemble classifier R Malhotra, M Khanna Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 10 | 2017 |
| The ability of search-based algorithms to predict change-prone classes R Malhotra, M Khanna Software Quality Professional 17 (1), 17, 2014 | 8 | 2014 |
| Analyzing software change in open source projects using artificial immune system algorithms R Malhotra, M Khanna 2014 International Conference on Advances in Computing, Communications and …, 2014 | 6 | 2014 |
| Examining the effectiveness of machine learning algorithms for prediction of change prone classes R Malhotra, M Khanna 2014 International Conference on High Performance Computing & Simulation …, 2014 | 6 | 2014 |
| A text mining framework for analyzing change impact and maintenance effort of software bug reports R Malhotra, M Khanna International Journal of Information Retrieval Research (IJIRR) 12 (1), 1-18, 2022 | 5 | 2022 |
| On the applicability of search-based algorithms for software change prediction R Malhotra, M Khanna International Journal of System Assurance Engineering and Management 14 (1 …, 2023 | 4 | 2023 |
| Common threats to software quality predictive modeling studies using search-based techniques R Malhotra, M Khanna 2016 International Conference on Advances in Computing, Communications and …, 2016 | 4 | 2016 |
| Empirical analysis of artificial immune system algorithms for aging related bug prediction M Khanna, M Aggarwal, N Singhal 2021 7th international conference on advanced computing and communication …, 2021 | 3 | 2021 |
Ruchika MalhotraDelhi Technological UniversityE-mail confirmado em dce.edu
