| 2025 | ENASE | An Empirical Framework for Automatic Identification of Video Game Development Problems Using Multilayer Perceptron. | Pratham Maan, Lov Kumar, Vikram Singh, Lalita Bhanu Murthy Neti, Aneesh Krishna |
| 2025 | Tencon | Enhancing Software Refactoring Prediction Accuracy Through Feature Selection and Data Sampling Strategies. | Aditya Kumar Singh Bisht, Lov Kumar, Vikram Singh |
| 2025 | Tencon | A Stacking-Based Multi-View Class-Level Refactoring Prediction Framework. | Hardik, Lov Kumar, Vikram Singh |
| 2024 | AINA | Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom. | Bathini Sai Akash, Vikram Singh, Aneesh Krishna, Lalita Bhanu Murthy Neti, Lov Kumar |
| 2024 | AINA | An Empirical Analysis on Leveraging User Reviews with NLP-Enhanced Word Embeddings for App Rating Prediction. | Pratyush Mishra, Vikram Singh, Aneesh Krishna, Lov Kumar |
| 2024 | CIT | Ensemble Learning for Recommending Job Categories. | Swati Garg, Chandra Sekhar, Lov Kumar |
| 2024 | CIT | Embracing NLP-Enhanced Word Embeddings for Contextually Enriched Technical Debt Estimation in Software Code Comments: An Empirical Study. | Ishpreet Kaur, Lov Kumar, Vikram Singh, Pratyush Mishra, Proksh |
| 2024 | CIT | Exploring Meta-Embeddings in Ensemble and Deep Learning for Gittercom Message Category Prediction. | Ashutosh Kr Sinha, Lov Kumar, Vikram Singh |
| 2023 | CIT | An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron. | Vikram Singh, Lov Kumar, Anoop Kumar Patel, Aneesh Krishna |
| 2023 | ENASE | Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes. | Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni |
| 2023 | ENASE | Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction. | Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni |
| 2023 | FedCSIS | Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter. | Tumu Akshar, Lov Kumar, Yogita, Lalita Bhanu Murthy Neti |
| 2023 | FedCSIS | An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine. | Lov Kumar, Vikram Singh, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna |
| 2023 | ICONIP | Empirical Analysis of Multi-label Classification on GitterCom Using BERT and ML Classifiers. | Bathini Sai Akash, Lov Kumar, Vikram Singh, Anoop Kumar Patel, Aneesh Krishna |
| 2022 | AINA | Predicting Cyber-Attacks on IoT Networks Using Deep-Learning and Different Variants of SMOTE. | Bathini Sai Akash, Pavan Kumar Reddy Yannam, Bokkasam Venkata Sai Ruthvik, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna |
| 2022 | AINA | Software Functional and Non-function Requirement Classification Using Word-Embedding. | Lov Kumar, Siddarth Baldwa, Shreya Manish Jambavalikar, Lalita Bhanu Murthy Neti, Aneesh Krishna |
| 2022 | AINA | Web Service Anti-patterns Prediction Using LSTM with Varying Embedding Sizes. | Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti |
| 2022 | AINA | COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels. | Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy Neti, Aneesh Krishna |
| 2022 | FedCSIS | Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques. | Venkata Krishna Chandra Mula, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna |
| 2022 | FedCSIS | Software Requirements Classification using Deep-learning Approach with Various Hidden Layers. | Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra |
| 2022 | ICCSA | Software Sentiment Analysis Using Machine Learning with Different Word-Embedding. | Venkata Krishna Chandra Mula, Sanidhya Vijayvargiya, Lov Kumar, Surender Singh Samant, N. L. Bhanu Murthy |
| 2022 | ICCSA | Software Functional Requirements Classification Using Ensemble Learning. | Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, N. L. Bhanu Murthy, Sanjay Misra |
| 2022 | ICONIP | Automatic Identification of Class Level Refactoring Using Abstract Syntax Tree and Embedding Technique. | Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar |
| 2021 | AINA | An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. | Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna |
| 2021 | FedCSIS | An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level. | Lov Kumar, Mukesh Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni |
| 2021 | ICCSA | Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. | Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti |
| 2021 | ICCSA | Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction. | Lov Kumar, Triyasha Ghosh Dastidar, Lalita Bhanu Murthy Neti, Shashank Mouli Satapathy, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni |
| 2021 | ICCSA | A Novel Approach for the Detection of Web Service Anti-Patterns Using Word Embedding Techniques. | Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Vipul Kocher, Srinivas Padmanabhuni |
| 2021 | ICCSA | An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques. | Sahithi Tummalapalli, Juhi Mittal, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Kumar Rath |
| 2021 | ICONIP | Predicting Software Defect Severity Level Using Deep-Learning Approach with Various Hidden Layers. | Lov Kumar, Triyasha Ghosh Dastidar, Anjali Goyal, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni |
| 2020 | HPCC | An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction. | Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna |
| 2020 | ICONIP | An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction. | Rasmita Panigrahi, Lov Kumar, Sanjay Kumar Kuanar |
| 2020 | ICONIP | Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers. | Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna |
| 2019 | APSEC | Anatomizing Android Malwares. | Anand Tirkey, Ramesh Kumar Mohapatra, Lov Kumar |
| 2019 | ICONIP | Prediction of Refactoring-Prone Classes Using Ensemble Learning. | Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna |
| 2018 | COMPSAC | An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework. | Lov Kumar, Ashish Sureka |
| 2018 | ICONIP | Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level. | Lov Kumar, Shashank Mouli Satapathy, Aneesh Krishna |
| 2018 | SEKE | Bayesian Logistic Regression for software defect prediction (S). | Jinu M. Sunil, Lov Kumar, Lalita Bhanu Murthy Neti |
| 2017 | APSEC | Estimating Web Service Quality of Service Parameters using Source Code Metrics and LSSVM. | Lov Kumar, Santanu Kumar Rath, Ashish Sureka |
| 2017 | APSEC | Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level. | Lov Kumar, Ashish Sureka |
| 2017 | COMPSAC | An Empirical Analysis on Effective Fault Prediction Model Developed Using Ensemble Methods. | Lov Kumar, Santanu Kumar Rath, Ashish Sureka |
| 2017 | ICCSA | Nearness and Influence Based Link Prediction (NILP) in Distributed Platform. | Ranjan Kumar Behera, Lov Kumar, Monalisa Jena, Sambit Mahapatra, Abhishek Sai Shukla, Santanu Kumar Rath |
| 2016 | APSEC | Predicting Quality of Service (QoS) Parameters using Extreme Learning Machines with Various Kernel Methods. | Lov Kumar, Santanu Kumar Rath, Ashish Sureka |
| 2016 | APSEC | A Review of Six Years of Asia-Pacific Software Engineering Conference. | Lov Kumar, Saikrishna Sripada, Ashish Sureka |
| 2016 | ICSE | Source code metrics for programmable logic controller (PLC) ladder diagram (LD) visual programming language. | Lov Kumar, Raoul Jetley, Ashish Sureka |
| 2015 | APSEC | Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines. | Lov Kumar, Santanu Kumar Rath |