Application of artificial neural network for predicting maintainability using object-oriented metrics KK Aggarwal, Y Singh, A Kaur, R Malhotra Transactions on Engineering, Computing and Technology 15, 285-289, 2006 | 293* | 2006 |
Empirical validation of object-oriented metrics for predicting fault proneness models Y Singh, A Kaur, R Malhotra Software quality journal 18 (1), 3, 2010 | 257 | 2010 |
Empirical Study of Object-Oriented Metrics. KK Aggarwal, Y Singh, A Kaur, R Malhotra Journal of Object Technology 5 (8), 149-173, 2006 | 199 | 2006 |
Empirical analysis for investigating the effect of object‐oriented metrics on fault proneness: a replicated case study KK Aggarwal, Y Singh, A Kaur, R Malhotra Software process: Improvement and practice 14 (1), 39-62, 2009 | 181 | 2009 |
Test case prioritization using ant colony optimization Y Singh, A Kaur, B Suri ACM SIGSOFT Software Engineering Notes 35 (4), 1-7, 2010 | 120 | 2010 |
Application of random forest in predicting fault-prone classes A Kaur, R Malhotra 2008 International Conference on Advanced Computer Theory and Engineering, 37-43, 2008 | 104 | 2008 |
Soft computing approaches for prediction of software maintenance effort A Kaur, K Kaur, R Malhotra International Journal of Computer Applications 1 (16), 69-75, 2010 | 83 | 2010 |
Software reuse metrics for object-oriented systems KK Aggarwal, Y Singh, A Kaur, R Malhotra Third ACIS Int'l Conference on Software Engineering Research, Management and …, 2005 | 83 | 2005 |
Code coverage based technique for prioritizing test cases for regression testing KK Aggrawal, Y Singh, A Kaur ACM SIGSOFT Software Engineering Notes 29 (5), 1-4, 2004 | 79 | 2004 |
A neural net based approach to test oracle KK Aggarwal, Y Singh, A Kaur, OP Sangwan ACM SIGSOFT Software Engineering Notes 29 (3), 1-6, 2004 | 79 | 2004 |
Systematic literature review on regression test prioritization techniques Y Singh, A Kaur, B Suri, S Singhal Informatica 36 (4), 2012 | 78 | 2012 |
A genetic algorithm for regression test case prioritization using code coverage A Kaur, S Goyal International journal on computer science and engineering 3 (5), 1839-1847, 2011 | 78 | 2011 |
Comparative analysis of regression and machine learning methods for predicting fault proneness models Y Singh, A Kaur, R Malhotra International journal of computer applications in technology 35 (2-4), 183-193, 2009 | 77 | 2009 |
An empirical evaluation of classification algorithms for fault prediction in open source projects A Kaur, I Kaur Journal of King Saud University-Computer and Information Sciences 30 (1), 2-17, 2018 | 75 | 2018 |
A comparative study of static code analysis tools for vulnerability detection in c/c++ and java source code A Kaur, R Nayyar Procedia Computer Science 171, 2023-2029, 2020 | 71 | 2020 |
Software fault proneness prediction using support vector machines Y Singh, A Kaur, R Malhotra Proceedings of the world congress on engineering 1, 1-3, 2009 | 71 | 2009 |
Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems. KK Aggarwal, Y Singh, A Kaur, R Malhotra Journal of Object Technology 6 (10), 127-141, 2007 | 67 | 2007 |
A bee colony optimization algorithm for fault coverage based regression test suite prioritization A Kaur, S Goyal International Journal of Advanced Science and Technology 29, 17-30, 2011 | 65 | 2011 |
Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines R Malhotra, A Kaur, Y Singh International Journal of System Assurance Engineering and Management 1 (3 …, 2010 | 64 | 2010 |
A survey on the applications of bee colony optimization techniques A Kaur, S Goyal International Journal on Computer Science and Engineering 3 (8), 3037, 2011 | 63 | 2011 |