Impact of Feature Selection Techniques on Bug Prediction Models. - Muthukumaran Kasinathan; Akhila Rallapalli; Lalita Bhanu Murthy Neti (ISEC, 2015)

Impact of restricted forward greedy feature selection technique on bug prediction. - Muthukumaran Kasinathan; Lalita Bhanu Murthy Neti (PeerJ Prepr., 2015)

On the Effectiveness of Cost Sensitive Neural Networks for Software Defect Prediction. - Muthukumaran Kasinathan; Amrita Dasgupta; Shirode Abhidnya; Lalita Bhanu Murthy Neti (SoCPaR, 2016)

Software Defect Prediction Using Augmented Bayesian Networks. - Muthukumaran Kasinathan; Suri Srinivas; Aruna Malapati; Lalita Bhanu Murthy Neti (SoCPaR, 2016)

Teaching Computer Programming Using MOOCs in Multiple Campuses: Challenges and Solutions. - Tathagata Ray; Aruna Malapati; N. L. Bhanu Murthy (T4E, 2016)

A Comparative Study of Named Entity Recognition for Telugu. - SaiKiranmai Gorla; N. L. Bhanu Murthy; Aruna Malapati (FIRE, 2017)

A Novel Method for Summarization and Evaluation of Messages from Twitter. - Surender Singh Samant; N. L. Bhanu Murthy; Aruna Malapati (ICAPR, 2017)

Named Entity Recognition for Telugu News Articles using Naïve Bayes Classifier. - SaiKiranmai Gorla; Sriharshitha Velivelli; N. L. Bhanu Murthy; Aruna Malapati (NewsIR@ECIR, 2018)

CapAct: A Wordnet-Based Summarizer for Real-World Events from Microblogs. - Surender Singh Samant; N. L. Bhanu Murthy; Aruna Malapati (ICDCIT, 2018)

Bayesian Logistic Regression for software defect prediction (S). - Jinu M. Sunil; Lov Kumar; Lalita Bhanu Murthy Neti (SEKE, 2018)

Empirical Study on the Distribution of Bugs in Software Systems. - C. K. Shriram; Muthukumaran Kasinathan; Lalita Bhanu Murthy Neti (Int. J. Softw. Eng. Knowl. Eng., 2018)

Multi-objective cross-version defect prediction. - Swapnil Shukla; T. Radhakrishnan; Muthukumaran Kasinathan; Lalita Bhanu Murthy Neti (Soft Comput., 2018)

Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions. - Lov Kumar; Chinmay Hota; Arvind Mahindru; Lalita Bhanu Murthy Neti (AINTEC, 2019)

An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction. - Chinmay Hota; Lov Kumar; Lalita Bhanu Murthy Neti (DMSVIVA, 2019)

Empirical Study on the Distribution of Object-Oriented Metrics in Software Systems. - Muthukumaran Kasinathan; N. L. Bhanu Murthy; P. Sarguna Janani (ICIST, 2019)

Prediction of Refactoring-Prone Classes Using Ensemble Learning. - Vamsi Krishna Aribandi; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (ICONIP (5), 2019)

Change-Proneness of Object-Oriented Software Using Combination of Feature Selection Techniques and Ensemble Learning Techniques. - Lov Kumar; Sangeeta Lal; Anjali Goyal; N. L. Bhanu Murthy (ISEC, 2019)

Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques. - Lov Kumar; Shashank Mouli Satapathy; Lalita Bhanu Murthy Neti (ISEC, 2019)

A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks. - Himanshu Gupta; Tanmay Girish Kulkarni; Lov Kumar; Lalita Bhanu Murthy Neti (MLN, 2019)

SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia. - Keval Morabia; Lalita Bhanu Murthy Neti; Aruna Malapati; Surender Singh Samant (NAACL-HLT (Student Research Workshop), 2019)

Improving Term Weighting Schemes for Short Text Classification in Vector Space Model. - Surender Singh Samant; N. L. Bhanu Murthy; Aruna Malapati (IEEE Access, 2019)

An EmpiricalAnalysis on Effectiveness of Source Code Metrics for Models Predicting Aging Related Bug. - Chinmay Hota; Lov Kumar; Lalita Bhanu Murthy Neti (J. Vis. Lang. Comput., 2019)

Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics. - Lov Kumar; Sangeeta Lal; Lalita Bhanu Murthy Neti (Int. J. Syst. Assur. Eng. Manag., 2019)

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 (HPCC/DSS/SmartCity, 2020)

Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers. - Sahithi Tummalapalli; Lov Kumar; N. L. Bhanu Murthy; Aneesh Krishna (ICONIP (5), 2020)

An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data. - Himanshu Gupta; Sanjay Misra; Lov Kumar; N. L. Bhanu Murthy (ICTA, 2020)

Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques. - Sahithi Tummalapalli; Lov Kumar; N. L. Bhanu Murthy (ISEC, 2020)

Sarcasm Detection Using Multi-Head Attention Based Bidirectional LSTM. - Avinash Kumar 006; Vishnu Teja Narapareddy; Veerubhotla Aditya Srikanth; Aruna Malapati; Lalita Bhanu Murthy Neti (IEEE Access, 2020)

Aspect-Based Sentiment Classification Using Interactive Gated Convolutional Network. - Avinash Kumar 006; Vishnu Teja Narapareddy; Veerubhotla Aditya Srikanth; Lalita Bhanu Murthy Neti; Aruna Malapati (IEEE Access, 2020)

Enhancing the Performance of Telugu Named Entity Recognition Using Gazetteer Features. - SaiKiranmai Gorla; Lalita Bhanu Murthy Neti; Aruna Malapati (Inf., 2020)

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 (AINA (2), 2021)

Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection. - Avinash Kumar 006; Vishnu Teja Narapareddy; Pranjal Gupta; Veerubhotla Aditya Srikanth; Lalita Bhanu Murthy Neti; Aruna Malapati (COMAD/CODS, 2021)

Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning. - Lov Kumar; Prakhar Gupta; Lalita Bhanu Murthy Neti; Santanu Ku. Rath; Shashank Mouli Satapathy; Vipul Kocher; Srinivas Padmanabhuni (SEAA, 2021)

An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level. - Lov Kumar; Mukesh Kumar 005; Lalita Bhanu Murthy Neti; Sanjay Misra; Vipul Kocher; Srinivas Padmanabhuni (FedCSIS, 2021)

Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. - Himanshu Gupta; Abhiram Anand Gulanikar; Lov Kumar; Lalita Bhanu Murthy Neti (ICCSA (9), 2021)

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 (ICCSA (7), 2021)

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 (ICCSA (7), 2021)

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 (ICCSA (7), 2021)

Prediction of Video Game Development Problems Based on Postmortems using Different Word Embedding Techniques. - Anirudh A; Aman RAJ Singh; Anjali Goyal; Lov Kumar; N. L. Bhanu Murthy (ICON, 2021)

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 (ICONIP (6), 2021)

An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction. - Sahithi Tummalapalli; Lov Kumar; Lalita Bhanu Murthy Neti; Santanu Kumar Rath (ISEC, 2021)

Aspect term extraction for opinion mining using a Hierarchical Self-Attention Network. - Avinash Kumar 006; Veerubhotla Aditya Srikanth; Vishnu Teja Narapareddy; Vamshi Aruru; Lalita Bhanu Murthy Neti; Aruna Malapati (Neurocomputing, 2021)

Categorization of Event Clusters from Twitter Using Term Weighting Schemes. - Surender Singh Samant; N. L. Bhanu Murthy; Aruna Malapati (Informatica (Slovenia), 2021)

BERT Based Semi-Supervised Hybrid Approach for Aspect and Sentiment Classification. - Avinash Kumar 006; Pranjal Gupta; Raghunathan Balan; Lalita Bhanu Murthy Neti; Aruna Malapati (Neural Process. Lett., 2021)

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 (AINA (2), 2022)

Software Functional and Non-function Requirement Classification Using Word-Embedding. - Lov Kumar; Siddarth Baldwa; Shreya Manish Jambavalikar; Lalita Bhanu Murthy Neti; Aneesh Krishna (AINA (2), 2022)

Web Service Anti-patterns Prediction Using LSTM with Varying Embedding Sizes. - Sahithi Tummalapalli; Lov Kumar; Lalita Bhanu Murthy Neti (AINA (1), 2022)

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 (AINA (3), 2022)

An efficient approach to kNN algorithm for IoT devices. - Bhavesh Gawri; Anirudh Kasturi; Lalita Bhanu Murthy Neti; Chittaranjan Hota (COMSNETS, 2022)

Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques. - Venkata Krishna Chandra Mula; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (FedCSIS, 2022)

Software Requirements Classification using Deep-learning Approach with Various Hidden Layers. - Sanidhya Vijayvargiya; Lov Kumar; Lalita Bhanu Murthy Neti; Sanjay Misra (FedCSIS, 2022)

COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach. - Sanidhya Vijayvargiya; Lov Kumar; Lalita Bhanu Murthy Neti; Sanjay Misra (ICAI, 2022)

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 (ICCSA (Workshops 5), 2022)

Software Functional Requirements Classification Using Ensemble Learning. - Sanidhya Vijayvargiya; Lov Kumar; Aruna Malapati; N. L. Bhanu Murthy; Sanjay Misra (ICCSA (Workshops 5), 2022)

BILEAT: a highly generalized and robust approach for unified aspect-based sentiment analysis. - Avinash Kumar 006; Raghunathan Balan; Pranjal Gupta; Lalita Bhanu Murthy Neti; Aruna Malapati (Appl. Intell., 2022)

Detection of web service anti-patterns using weighted extreme learning machine. - Sahithi Tummalapalli; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (Comput. Stand. Interfaces, 2022)

Telugu named entity recognition using bert. - SaiKiranmai Gorla; Sai Sharan Tangeda; Lalita Bhanu Murthy Neti; Aruna Malapati (Int. J. Data Sci. Anal., 2022)

BARLAT: A Nearly Unsupervised Approach for Aspect Category Detection. - Avinash Kumar 006; Pranjal Gupta; Nisarg Kotak; Raghunathan Balan; Lalita Bhanu Murthy Neti; Aruna Malapati (Neural Process. Lett., 2022)

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 (ENASE, 2023)

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 (ENASE, 2023)

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 (FedCSIS, 2023)

An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine. - Lov Kumar; Vikram Singh 005; Lalita Bhanu Murthy Neti; Sanjay Misra; Aneesh Krishna (FedCSIS (Communication Papers), 2023)

Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers. - Anirudh A; Lov Kumar; N. L. Bhanu Murthy; Aneesh Krishna (ISEC, 2023)

A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics. - Sahithi Tummalapalli; Lov Kumar; Lalita Bhanu Murthy Neti; Aneesh Krishna (ISEC, 2023)

Machine learning with word embedding for detecting web-services anti-patterns. - Lov Kumar; Sahithi Tummalapalli; Sonika Chandrakant Rathi; Lalita Bhanu Murthy Neti; Aneesh Krishna; Sanjay Misra (J. Comput. Lang., 2023)

Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction. - Sonika Chandrakant Rathi; Sanjay Misra; Ricardo Colomo-Palacios; R. Adarsh; Lalita Bhanu Murthy Neti; Lov Kumar (Expert Syst. Appl., 2023)

Anomaly Detection in WBANs using Semi-Supervised Double Deep Q-Networks. - Ravindra Rao; Saurjyesh Hota; N. L. Bhanu Murthy (ANTS, 2024)

Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom. - Bathini Sai Akash; Vikram Singh 005; Aneesh Krishna; Lalita Bhanu Murthy Neti; Lov Kumar (AINA (2), 2024)

A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models. - Tumu Akshar; Vikram Singh 005; N. L. Bhanu Murthy; Aneesh Krishna; Lov Kumar (ISEC, 2024)

Unfair TOS: An Automated Approach using Customized BERT. - Bathini Sai Akash; Akshara Kupireddy; Lalita Bhanu Murthy Neti (CoRR, 2024)

An Empirical Framework for Automatic Identification of Video Game Development Problems Using Multilayer Perceptron. - Pratham Maan; Lov Kumar; Vikram Singh 005; Lalita Bhanu Murthy Neti; Aneesh Krishna (ENASE, 2025)

An empirical evaluation of the effectiveness of various ML, DL, and CodeBERT models to enhance the quality of software with the application of AST and Embedding techniques. - Sonika Chandrakant Rathi; N. L. Bhanu Murthy; Lov Kumar (ISEC, 2025)

MLAPW: A framework to assess the impact of feature selection and sampling techniques on anti-pattern prediction using WSDL metrics. - Lov Kumar; Vikram Singh 005; N. L. Bhanu Murthy; Aneesh Krishna; Sanjay Misra (J. Comput. Lang., 2025)