Lov Kumar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 90

Top Topics

Empirical Analysis

Software Defect

Source Code Metrics

Top Venues

Int. J. Syst. Assur. Eng. Manag.

Publications

Pratyush Mishra, Vikram Singh, Aneesh Krishna, Lov Kumar
An Empirical Analysis on Leveraging User Reviews with NLP-Enhanced Word Embeddings for App Rating Prediction. AINA (3) (2024)
Tumu Akshar, Vikram Singh, N. L. Bhanu Murthy, Aneesh Krishna, Lov Kumar
A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models. ISEC (2024)
Bathini Sai Akash, Vikram Singh, Aneesh Krishna, Lalita Bhanu Murthy Neti, Lov Kumar
Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom. AINA (2) (2024)
Tumu Akshar, Lov Kumar, Yogita, Lalita Bhanu Murthy Neti
Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter. FedCSIS (2023)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics. ISEC (2023)
Lov Kumar, Sahithi Tummalapalli, Sonika Chandrakant Rathi, Lalita Bhanu Murthy Neti, Aneesh Krishna, Sanjay Misra
Machine learning with word embedding for detecting web-services anti-patterns. J. Comput. Lang. 75 (2023)
Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni
Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes. ENASE (2023)
Bathini Sai Akash, Lov Kumar, Vikram Singh, Anoop Kumar Patel, Aneesh Krishna
Empirical Analysis of Multi-label Classification on GitterCom Using BERT and ML Classifiers. ICONIP (5) (2023)
Lov Kumar, Vikram Singh, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna
An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine. FedCSIS (Communication Papers) (2023)
Anirudh A, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna
Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers. ISEC (2023)
Kasturi Vasudevan, Surendra Kota, Lov Kumar, Himanshu Bhusan Mishra
New Results on Single User Massive MIMO. CoRR (2023)
Kasturi Vasudevan, Surendra Kota, Lov Kumar, Himanshu Bhusan Mishra
Turbo Coded OFDM-OQAM Using Hilbert Transform. CoRR (2023)
Sonika Chandrakant Rathi, Sanjay Misra, Ricardo Colomo Palacios, R. Adarsh, Lalita Bhanu Murthy Neti, Lov Kumar
Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction. Expert Syst. Appl. 223 (2023)
Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni
Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction. ENASE (2023)
Vikram Singh, Lov Kumar, Anoop Kumar Patel, Aneesh Krishna
An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron. OCIT (2023)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Detection of web service anti-patterns using weighted extreme learning machine. Comput. Stand. Interfaces 82 (2022)
Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar
Automatic Identification of Class Level Refactoring Using Abstract Syntax Tree and Embedding Technique. ICONIP (3) (2022)
Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra
COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach. ICAI (2022)
Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, N. L. Bhanu Murthy, Sanjay Misra
Software Functional Requirements Classification Using Ensemble Learning. ICCSA (Workshops 5) (2022)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti
Web Service Anti-patterns Prediction Using LSTM with Varying Embedding Sizes. AINA (1) (2022)
Lov Kumar, Siddarth Baldwa, Shreya Manish Jambavalikar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Software Functional and Non-function Requirement Classification Using Word-Embedding. AINA (2) (2022)
Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy Neti, Aneesh Krishna
COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels. AINA (3) (2022)
Venkata Krishna Chandra Mula, Sanidhya Vijayvargiya, Lov Kumar, Surender Singh Samant, N. L. Bhanu Murthy
Software Sentiment Analysis Using Machine Learning with Different Word-Embedding. ICCSA (Workshops 5) (2022)
Venkata Krishna Chandra Mula, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques. FedCSIS (2022)
Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra
Software Requirements Classification using Deep-learning Approach with Various Hidden Layers. FedCSIS (2022)
Rasmita Panigrahi, Sanjay Kumar Kuanar, Lov Kumar
Cross-Project Software Refactoring Prediction Using Optimized Deep Learning Neural Network With the Aid of Attribute Selection. Int. J. Open Source Softw. Process. 13 (1) (2022)
Bathini Sai Akash, Pavan Kumar Reddy Yannam, Bokkasam Venkata Sai Ruthvik, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Predicting Cyber-Attacks on IoT Networks Using Deep-Learning and Different Variants of SMOTE. AINA (2) (2022)
Rasmita Panigrahi, Sanjay Kumar Kuanar, Lov Kumar
An Empirical Study for Method-Level Refactoring Prediction by Ensemble Technique and SMOTE to Improve Its Efficiency. Int. J. Open Source Softw. Process. 12 (4) (2021)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Kumar Rath
An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction. ISEC (2021)
Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. AINA (2) (2021)
Lov Kumar, Triyasha Ghosh Dastidar, Lalita Bhanu Murthy Neti, Shashank Mouli Satapathy, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction. ICCSA (7) (2021)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Vipul Kocher, Srinivas Padmanabhuni
A Novel Approach for the Detection of Web Service Anti-Patterns Using Word Embedding Techniques. ICCSA (7) (2021)
Anirudh A, Aman RAJ Singh, Anjali Goyal, Lov Kumar, N. L. Bhanu Murthy
Prediction of Video Game Development Problems Based on Postmortems using Different Word Embedding Techniques. ICON (2021)
Sahithi Tummalapalli, Juhi Mittal, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Kumar Rath
An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques. ICCSA (7) (2021)
Lov Kumar, Mukesh Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level. FedCSIS (2021)
Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. CoRR (2021)
Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti
Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. ICCSA (9) (2021)
Lov Kumar, Triyasha Ghosh Dastidar, Anjali Goyal, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
Predicting Software Defect Severity Level Using Deep-Learning Approach with Various Hidden Layers. ICONIP (6) (2021)
Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti
Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. CoRR (2021)
S. R. Mithun Kumar, Nihal Reddy, Aruna Malapati, Lov Kumar
An Ensemble Model for Sentiment Classification on Code-Mixed Data in Dravidian Languages. FIRE (Working Notes) (2021)
Lov Kumar, Prakhar Gupta, Lalita Bhanu Murthy Neti, Santanu Ku. Rath, Shashank Mouli Satapathy, Vipul Kocher, Srinivas Padmanabhuni
Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning. SEAA (2021)
Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy
Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques. ISEC (2020)
Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna
Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers. ICONIP (5) (2020)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction. HPCC/DSS/SmartCity (2020)
Rasmita Panigrahi, Lov Kumar, Sanjay Kumar Kuanar
An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction. ICONIP (4) (2020)
Himanshu Gupta, Sanjay Misra, Lov Kumar, N. L. Bhanu Murthy
An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data. ICTA (2020)
Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti
An EmpiricalAnalysis on Effectiveness of Source Code Metrics for Models Predicting Aging Related Bug. J. Vis. Lang. Comput. 2019 (2) (2019)
Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar, Neelamadhab Padhy, Suresh Chandra Satapathy
Software reusability metrics prediction and cost estimation by using machine learning algorithms. Int. J. Knowl. Based Intell. Eng. Syst. 23 (4) (2019)
Harshit Gujral, Abhinav Sharma, Sangeeta Lal, Lov Kumar
A Three Dimensional Empirical Study of Logging Questions From Six Popular Q&A Websites. e Informatica Softw. Eng. J. 13 (1) (2019)
Lov Kumar, Sangeeta Lal, Anjali Goyal, N. L. Bhanu Murthy
Change-Proneness of Object-Oriented Software Using Combination of Feature Selection Techniques and Ensemble Learning Techniques. ISEC (2019)
Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti
A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks. MLN (2019)
Lov Kumar, Sangeeta Lal, Lalita Bhanu Murthy Neti
Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics. Int. J. Syst. Assur. Eng. Manag. 10 (5) (2019)
Anand Tirkey, Ramesh Kumar Mohapatra, Lov Kumar
Anatomizing Android Malwares. APSEC (2019)
Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti
An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction. DMSVIVA (2019)
Lov Kumar, Chinmay Hota, Arvind Mahindru, Lalita Bhanu Murthy Neti
Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions. AINTEC (2019)
Lov Kumar, Shashank Mouli Satapathy, Lalita Bhanu Murthy Neti
Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques. ISEC (2019)
Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Prediction of Refactoring-Prone Classes Using Ensemble Learning. ICONIP (5) (2019)
Lov Kumar, Ashish Sureka
Quality of service (QoS) parameters prediction for web services using hybrid neural network and ensemble methods. Int. J. Syst. Assur. Eng. Manag. 10 (6) (2019)
Sanket Mishra, Chinmay Hota, Lov Kumar, Abhaya Nayak
An Evolutionary GA-Based Approach for Community Detection in IoT. IEEE Access 7 (2019)
Jinu M. Sunil, Lov Kumar, Lalita Bhanu Murthy Neti
Bayesian Logistic Regression for software defect prediction (S). SEKE (2018)
Lov Kumar, Ashish Sureka
An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework. COMPSAC (1) (2018)
Lov Kumar, Shashank Mouli Satapathy, Aneesh Krishna
Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level. ICONIP (5) (2018)
Lov Kumar, Ashish Sureka
Feature Selection Techniques to Counter Class Imbalance Problem for Aging Related Bug Prediction: Aging Related Bug Prediction. ISEC (2018)
Lov Kumar, Saikrishna Sripada, Ashish Sureka, Santanu Ku. Rath
Effective fault prediction model developed using Least Square Support Vector Machine (LSSVM). J. Syst. Softw. 137 (2018)
Lov Kumar, Anand Tirkey, Santanu Ku. Rath
An effective fault prediction model developed using an extreme learning machine with various kernel methods. Frontiers Inf. Technol. Electron. Eng. 19 (7) (2018)
Lov Kumar, Santanu Kumar Rath, Ashish Sureka
Using source code metrics to predict change-prone web services: A case-study on ebay services. MaLTeSQuE@SANER (2017)
Lov Kumar, Santanu Kumar Rath, Ashish Sureka
Estimating Web Service Quality of Service Parameters using Source Code Metrics and LSSVM. QuASoQ@APSEC (2017)
Lov Kumar, Santanu Kumar Rath, Ashish Sureka
Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction. CoRR (2017)
Lov Kumar, Ashish Sureka
Neural network with multiple training methods for web service quality of service parameter prediction. IC3 (2017)
Lov Kumar, Aneesh Krishna, Santanu Ku. Rath
The impact of feature selection on maintainability prediction of service-oriented applications. Serv. Oriented Comput. Appl. 11 (2) (2017)
Lov Kumar, Ashish Sureka
Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level. ISEC (2017)
Lov Kumar, Ranjan Kumar Behera, Santanu Kumar Rath, Ashish Sureka
Transfer Learning for Cross-Project Change-Proneness Prediction in Object-Oriented Software Systems: A Feasibility Analysis. ACM SIGSOFT Softw. Eng. Notes 42 (3) (2017)
Ranjan Kumar Behera, Lov Kumar, Monalisa Jena, Sambit Mahapatra, Abhishek Sai Shukla, Santanu Kumar Rath
Nearness and Influence Based Link Prediction (NILP) in Distributed Platform. ICCSA (6) (2017)
Lov Kumar, Santanu Ku. Rath
Empirical validation for effectiveness of fault prediction technique based on cost analysis framework. Int. J. Syst. Assur. Eng. Manag. 8 (2s) (2017)
Lov Kumar, Santanu Kumar Rath, Ashish Sureka
An Empirical Analysis on Effective Fault Prediction Model Developed Using Ensemble Methods. COMPSAC (1) (2017)
Lov Kumar, Ranjan Kumar Behera, Santanu Kumar Rath, Ashish Sureka
A Bibliometric Study of ACM SIGSOFT Software Engineering Notes from 2007 to 2016. ACM SIGSOFT Softw. Eng. Notes 42 (3) (2017)
Lov Kumar, Ashish Sureka
Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level. APSEC (2017)
Lov Kumar, Santanu Kumar Rath, Ashish Sureka
Using Source Code Metrics and Multivariate Adaptive Regression Splines to Predict Maintainability of Service Oriented Software. HASE (2017)
Lov Kumar, Sanjay Misra, Santanu Ku. Rath
An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes. Comput. Stand. Interfaces 53 (2017)
Lov Kumar, Mukesh Kumar, Santanu Ku. Rath
Maintainability prediction of web service using support vector machine with various kernel methods. Int. J. Syst. Assur. Eng. Manag. 8 (2) (2017)
Lov Kumar, Ashish Sureka
A Comparative Study of Different Source Code Metrics and Machine Learning Algorithms for Predicting Change Proneness of Object Oriented Systems. CoRR (2017)
Lov Kumar, Santanu Kumar Rath, Ashish Sureka
Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness. ISEC (2017)
Lov Kumar, Ashish Sureka
Analyzing fault prediction usefulness from cost perspective using source code metrics. IC3 (2017)
Lov Kumar, Santanu Ku. Rath
Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept. Int. J. Syst. Assur. Eng. Manag. 8 (2s) (2017)
Lov Kumar, Santanu Ku. Rath
Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software. J. Syst. Softw. 121 (2016)
Lov Kumar, Saikrishna Sripada, Ashish Sureka
A Review of Six Years of Asia-Pacific Software Engineering Conference. APSEC (2016)
Lov Kumar, Saikrishna Sripada, Ashish Sureka
A Bibliometric Study of Asia Pacific Software Engineering Conference from 2010 to 2015. CoRR (2016)
Lov Kumar, Raoul Jetley, Ashish Sureka
Source code metrics for programmable logic controller (PLC) ladder diagram (LD) visual programming language. WETSoM@ICSE (2016)
Lov Kumar, Ashish Sureka
Thirteen Years of Mining Software Repositories (MSR) Conference - What is the Bibliography Data Telling Us? CoRR (2016)
Lov Kumar, Santanu Kumar Rath, Ashish Sureka
Predicting Quality of Service (QoS) Parameters using Extreme Learning Machines with Various Kernel Methods. QuASoQ/TDA@APSEC (2016)
Lov Kumar, Santanu Ku. Rath
Predicting Object-Oriented Software Maintainability using Hybrid Neural Network with Parallel Computing Concept. ISEC (2015)
Lov Kumar, Santanu Kumar Rath
Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines. APSEC (2015)