Dr. Lov Kumar
Dr. Lov Kumar
Assistant professor, BITS Pilani Hyderabad Campus
Verified email at hyderabad.bits-pilani.ac.in - Homepage
TitleCited byYear
Effective fault prediction model developed using least square support vector machine (LSSVM)
L Kumar, SK Sripada, A Sureka, SK Rath
Journal of Systems and Software 137, 686-712, 2018
212018
Statistical and machine learning methods for software fault prediction using CK metric suite: a comparative analysis
Y Suresh, L Kumar, SK Rath
ISRN Software Engineering 2014, 2014
182014
Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software
L Kumar, SK Rath
Journal of Systems and Software 121, 170-190, 2016
162016
An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes
L Kumar, S Misra, SK Rath
Computer Standards & Interfaces 53, 1-32, 2017
152017
Empirical analysis on effectiveness of source code metrics for predicting change-proneness
L Kumar, SK Rath, A Sureka
Proceedings of the 10th Innovations in Software Engineering Conference, 4-14, 2017
152017
Using source code metrics to predict change-prone web services: A case-study on ebay services
L Kumar, SK Rath, A Sureka
2017 IEEE Workshop on Machine Learning Techniques for Software Quality …, 2017
142017
Validating the Effectiveness of Object-Oriented Metrics for Predicting Maintainability
L Kumar, ND Ku, SK Rath
3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015 …, 2015
142015
The impact of feature selection on maintainability prediction of service-oriented applications
L Kumar, A Krishna, SK Rath
Service Oriented Computing and Applications 11 (2), 137-161, 2017
102017
Predicting object-oriented software maintainability using hybrid neural network with parallel computing concept
L Kumar, SK Rath
Proceedings of the 8th India software engineering conference, 100-109, 2015
102015
Maintainability prediction of web service using support vector machine with various kernel methods
L Kumar, M Kumar, SK Rath
International Journal of System Assurance Engineering and Management 8 (2 …, 2017
82017
Mechanical properties, wear behavior and crystallographic texture of Al–multiwalled carbon nanotube composites developed by powder metallurgy route
L Kumar, S Nasimul Alam, SK Sahoo
Journal of Composite Materials 51 (8), 1099-1117, 2017
82017
Source code metrics for programmable logic controller (PLC) ladder diagram (LD) visual programming language
L Kumar, R Jetley, A Sureka
2016 IEEE/ACM 7th International Workshop on Emerging Trends in Software …, 2016
82016
Predicting quality of service (qos) parameters using extreme learning machines with various kernel methods
L Kumar, SK Rath, A Sureka
4th International Workshop on Quantitative Approaches to Software Quality, 11, 2016
82016
Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept
L Kumar, SK Rath
International Journal of System Assurance Engineering and Management 8 (2 …, 2017
62017
Transfer learning for cross-project change-proneness prediction in object-oriented software systems: A feasibility analysis
L Kumar, RK Behera, S Rath, A Sureka
ACM SIGSOFT Software Engineering Notes 42 (3), 1-11, 2017
62017
Using structured text source code metrics and artificial neural networks to predict change proneness at code tab and program organization level
L Kumar, A Sureka
Proceedings of the 10th Innovations in Software Engineering Conference, 172-180, 2017
62017
An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework
L Kumar, A Sureka
2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC …, 2018
52018
Using source code metrics and multivariate adaptive regression splines to predict maintainability of service oriented software
L Kumar, SK Rath, A Sureka
2017 IEEE 18th International Symposium on High Assurance Systems Engineering …, 2017
52017
Neuro–genetic approach for predicting maintainability using Chidamber and Kemerer software metrics suite
L Kumar, SK Rath
Recent Advances in Information and Communication Technology 2015, 31-40, 2015
52015
Empirical validation for effectiveness of fault prediction technique based on cost analysis framework
L Kumar, SK Rath
International Journal of System Assurance Engineering and Management 8 (2 …, 2017
42017
The system can't perform the operation now. Try again later.
Articles 1–20