| 2026 | COMPSAC | Cloud-Native Scalable Localization: A Serverless CI/CD Framework for Multilingual Software Delivery. | Neeraj Kumar Sharma, Pranav Dilip Mate, Sandeep Kanchan Pandit, Pritam Kar, Subhrakanta Panda, Lalita Bhanu Murthy Neti |
| 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 |
| 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 |
| 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 |
| 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 | COMSNETS | An efficient approach to kNN algorithm for IoT devices. | Bhavesh Gawri, Anirudh Kasturi, Lalita Bhanu Murthy Neti, Chittaranjan Hota |
| 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 |
| 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 | COMAD | Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection. | Avinash Kumar, Vishnu Teja Narapareddy, Pranjal Gupta, Veerubhotla Aditya Srikanth, Lalita Bhanu Murthy Neti, Aruna Malapati |
| 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 |
| 2019 | ICONIP | Prediction of Refactoring-Prone Classes Using Ensemble Learning. | Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna |
| 2019 | NAACL | SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia. | Keval Morabia, Lalita Bhanu Murthy Neti, Aruna Malapati, Surender Singh Samant |
| 2018 | SEKE | Bayesian Logistic Regression for software defect prediction (S). | Jinu M. Sunil, Lov Kumar, Lalita Bhanu Murthy Neti |