Lov Kumar - RankMe

107 papers B 4C 9Journal 33Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimizing software defect prediction performance via call graph embedding and feature selection. Clust. Comput. Sweta Mehta, Sanjay Misra, Lov Kumar, K. Sridhar Patnaik
2025	J	`jnl`	A comprehensive approach to enhance fault prediction through code-comment analysis with CodeBERT. Appl. Intell. Monika Yadav, Lov Kumar, Vishal Passricha
2025	B	`conf`	An Empirical Framework for Automatic Identification of Video Game Development Problems Using Multilayer Perceptron. ENASE Pratham Maan, Lov Kumar, Vikram Singh, Lalita Bhanu Murthy Neti, Aneesh Krishna
2025	—	`conf`	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. ISEC Sonika Chandrakant Rathi, N. L. Bhanu Murthy, Lov Kumar
2025	—	`conf`	Enhanced Software Fault Prediction by Analyzing Code Comments using CodeBERT. ISEC Monika Yadav, Lov Kumar, Vishal Passricha
2025	J	`jnl`	MLAPW: A framework to assess the impact of feature selection and sampling techniques on anti-pattern prediction using WSDL metrics. J. Comput. Lang. Lov Kumar, Vikram Singh, N. L. Bhanu Murthy, Aneesh Krishna, Sanjay Misra
2025	J	`jnl`	Nested deep learning with learned network embeddings for software defect prediction. Appl. Soft Comput. Sweta Mehta, Lov Kumar, Sanjay Misra, K. Sridhar Patnaik, Vikram Singh
2025	—	`conf`	Predicting Eye Cancer Survival Using Feature Selection and Ensemble Machine Learning Techniques. PReMI (2) B. Lakshmi Nivas, Lov Kumar, D. V. N. Siva Kumar, Vikram Singh
2025	—	`ed.`	Proceedings of the 18th Innovations in Software Engineering Conference, ISEC 2025, Kurukshetra, India, February 20-22, 2025 ISEC Jitendra Chhabra, Lov Kumar, Sridhar Chimalakonda, Paddy Krishan, Sangharatna Godboley
2024	—	`conf`	A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models. ISEC Tumu Akshar, Vikram Singh, N. L. Bhanu Murthy, Aneesh Krishna, Lov Kumar
2024	—	`conf`	An Empirical Analysis on Leveraging User Reviews with NLP-Enhanced Word Embeddings for App Rating Prediction. AINA (3) Pratyush Mishra, Vikram Singh, Aneesh Krishna, Lov Kumar
2024	—	`conf`	Embracing NLP-Enhanced Word Embeddings for Contextually Enriched Technical Debt Estimation in Software Code Comments: An Empirical Study. OCIT Ishpreet Kaur, Lov Kumar, Vikram Singh, Pratyush Mishra, Proksh
2024	—	`conf`	Ensemble Learning for Recommending Job Categories. OCIT Swati Garg, Chandra Sekhar, Lov Kumar
2024	—	`conf`	Exploring Meta-Embeddings in Ensemble and Deep Learning for Gittercom Message Category Prediction. OCIT Ashutosh Kr Sinha, Lov Kumar, Vikram Singh
2024	—	`conf`	Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom. AINA (2) Bathini Sai Akash, Vikram Singh, Aneesh Krishna, Lalita Bhanu Murthy Neti, Lov Kumar
2023	—	`ed.`	16th Innovations in Software Engineering Conference, ISEC2023, Allahabad, India, February 23-25, 2023 ISEC Sonali Agarwal, Abhik Roychoudhury, Rahul Purandare, Saurabh Tiwari, Lov Kumar
2023	—	`conf`	A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics. ISEC Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2023	—	`conf`	An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron. OCIT Vikram Singh, Lov Kumar, Anoop Kumar Patel, Aneesh Krishna
2023	—	`conf`	An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine. FedCSIS (Communication Papers) Lov Kumar, Vikram Singh, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna
2023	—	`conf`	Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers. ISEC Anirudh A, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna
2023	C	`conf`	Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter. FedCSIS Tumu Akshar, Lov Kumar, Yogita, Lalita Bhanu Murthy Neti
2023	B	`conf`	Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction. ENASE Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni
2023	—	`conf`	Empirical Analysis of Multi-label Classification on GitterCom Using BERT and ML Classifiers. ICONIP (5) Bathini Sai Akash, Lov Kumar, Vikram Singh, Anoop Kumar Patel, Aneesh Krishna
2023	J	`jnl`	Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction. Expert Syst. Appl. Sonika Chandrakant Rathi, Sanjay Misra, Ricardo Colomo-Palacios, R. Adarsh, Lalita Bhanu Murthy Neti, Lov Kumar
2023	J	`jnl`	Machine learning with word embedding for detecting web-services anti-patterns. J. Comput. Lang. Lov Kumar, Sahithi Tummalapalli, Sonika Chandrakant Rathi, Lalita Bhanu Murthy Neti, Aneesh Krishna, Sanjay Misra
2023	J	`jnl`	New Results on Single User Massive MIMO. CoRR Kasturi Vasudevan, Surendra Kota, Lov Kumar, Himanshu Bhusan Mishra
2023	B	`conf`	Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes. ENASE Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni
2023	J	`jnl`	Turbo Coded OFDM-OQAM Using Hilbert Transform. CoRR Kasturi Vasudevan, Surendra Kota, Lov Kumar, Himanshu Bhusan Mishra
2022	—	`conf`	Automatic Identification of Class Level Refactoring Using Abstract Syntax Tree and Embedding Technique. ICONIP (3) Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar
2022	—	`conf`	COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach. ICAI Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra
2022	—	`conf`	COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels. AINA (3) Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	J	`jnl`	Cross-Project Software Refactoring Prediction Using Optimized Deep Learning Neural Network With the Aid of Attribute Selection. Int. J. Open Source Softw. Process. Rasmita Panigrahi, Sanjay Kumar Kuanar, Lov Kumar
2022	J	`jnl`	Detection of web service anti-patterns using weighted extreme learning machine. Comput. Stand. Interfaces Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	—	`ed.`	ISEC 2022: 15th Innovations in Software Engineering Conference, Gandhinagar, India, February 24 - 26, 2022 ISEC Saurabh Tiwari, Sanjay Chaudhary, Chanchal K. Roy, Meenakshi D'Souza, Richa Sharma, Lov Kumar
2022	—	`conf`	Predicting Cyber-Attacks on IoT Networks Using Deep-Learning and Different Variants of SMOTE. AINA (2) Bathini Sai Akash, Pavan Kumar Reddy Yannam, Bokkasam Venkata Sai Ruthvik, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	—	`conf`	Software Functional Requirements Classification Using Ensemble Learning. ICCSA (Workshops 5) Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, N. L. Bhanu Murthy, Sanjay Misra
2022	—	`conf`	Software Functional and Non-function Requirement Classification Using Word-Embedding. AINA (2) Lov Kumar, Siddarth Baldwa, Shreya Manish Jambavalikar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	C	`conf`	Software Requirements Classification using Deep-learning Approach with Various Hidden Layers. FedCSIS Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra
2022	—	`conf`	Software Sentiment Analysis Using Machine Learning with Different Word-Embedding. ICCSA (Workshops 5) Venkata Krishna Chandra Mula, Sanidhya Vijayvargiya, Lov Kumar, Surender Singh Samant, N. L. Bhanu Murthy
2022	C	`conf`	Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques. FedCSIS Venkata Krishna Chandra Mula, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	—	`conf`	Web Service Anti-patterns Prediction Using LSTM with Varying Embedding Sizes. AINA (1) Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti
2021	—	`conf`	A Novel Approach for the Detection of Web Service Anti-Patterns Using Word Embedding Techniques. ICCSA (7) Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Vipul Kocher, Srinivas Padmanabhuni
2021	—	`conf`	An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques. ICCSA (7) Sahithi Tummalapalli, Juhi Mittal, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Kumar Rath
2021	J	`jnl`	An Empirical Study for Method-Level Refactoring Prediction by Ensemble Technique and SMOTE to Improve Its Efficiency. Int. J. Open Source Softw. Process. Rasmita Panigrahi, Sanjay Kumar Kuanar, Lov Kumar
2021	C	`conf`	An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level. FedCSIS Lov Kumar, Mukesh Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
2021	—	`conf`	An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. AINA (2) Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2021	J	`jnl`	An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. CoRR Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2021	—	`conf`	An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction. ISEC Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Kumar Rath
2021	—	`conf`	An Ensemble Model for Sentiment Classification on Code-Mixed Data in Dravidian Languages. FIRE (Working Notes) S. R. Mithun Kumar, Nihal Reddy, Aruna Malapati, Lov Kumar
2021	—	`conf`	Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction. ICCSA (7) Lov Kumar, Triyasha Ghosh Dastidar, Lalita Bhanu Murthy Neti, Shashank Mouli Satapathy, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
2021	—	`conf`	Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. ICCSA (9) Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti
2021	J	`jnl`	Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. CoRR Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti
2021	—	`ed.`	ISEC 2021: 14th Innovations in Software Engineering Conference, Bhubaneswar, Odisha, India, February 25-27, 2021 ISEC Durga Prasad Mohapatra, Samaresh Mishra, Tony Clark, Alpana Dubey, Richa Sharma, Lov Kumar
2021	—	`conf`	Predicting Software Defect Severity Level Using Deep-Learning Approach with Various Hidden Layers. ICONIP (6) Lov Kumar, Triyasha Ghosh Dastidar, Anjali Goyal, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
2021	B	`conf`	Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning. SEAA Lov Kumar, Prakhar Gupta, Lalita Bhanu Murthy Neti, Santanu Ku. Rath, Shashank Mouli Satapathy, Vipul Kocher, Srinivas Padmanabhuni
2021	—	`conf`	Prediction of Video Game Development Problems Based on Postmortems using Different Word Embedding Techniques. ICON Anirudh A, Aman RAJ Singh, Anjali Goyal, Lov Kumar, N. L. Bhanu Murthy
2020	—	`conf`	An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction. HPCC/DSS/SmartCity Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2020	—	`conf`	An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data. ICTA Himanshu Gupta, Sanjay Misra, Lov Kumar, N. L. Bhanu Murthy
2020	—	`conf`	An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction. ICONIP (4) Rasmita Panigrahi, Lov Kumar, Sanjay Kumar Kuanar
2020	—	`conf`	Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers. ICONIP (5) Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna
2020	—	`conf`	Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques. ISEC Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy
2019	—	`conf`	A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks. MLN Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti
2019	J	`jnl`	A Three Dimensional Empirical Study of Logging Questions From Six Popular Q&A Websites. e Informatica Softw. Eng. J. Harshit Gujral, Abhinav Sharma, Sangeeta Lal, Lov Kumar
2019	—	`conf`	An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction. DMSVIVA Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti
2019	J	`jnl`	An EmpiricalAnalysis on Effectiveness of Source Code Metrics for Models Predicting Aging Related Bug. J. Vis. Lang. Comput. Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti
2019	J	`jnl`	An Evolutionary GA-Based Approach for Community Detection in IoT. IEEE Access Sanket Mishra, Chinmay Hota, Lov Kumar, Abhaya Nayak
2019	C	`conf`	Anatomizing Android Malwares. APSEC Anand Tirkey, Ramesh Kumar Mohapatra, Lov Kumar
2019	—	`conf`	Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions. AINTEC Lov Kumar, Chinmay Hota, Arvind Mahindru, Lalita Bhanu Murthy Neti
2019	—	`conf`	Change-Proneness of Object-Oriented Software Using Combination of Feature Selection Techniques and Ensemble Learning Techniques. ISEC Lov Kumar, Sangeeta Lal, Anjali Goyal, N. L. Bhanu Murthy
2019	J	`jnl`	Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics. Int. J. Syst. Assur. Eng. Manag. Lov Kumar, Sangeeta Lal, Lalita Bhanu Murthy Neti
2019	—	`conf`	Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques. ISEC Lov Kumar, Shashank Mouli Satapathy, Lalita Bhanu Murthy Neti
2019	—	`conf`	Prediction of Refactoring-Prone Classes Using Ensemble Learning. ICONIP (5) Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2019	J	`jnl`	Quality of service (QoS) parameters prediction for web services using hybrid neural network and ensemble methods. Int. J. Syst. Assur. Eng. Manag. Lov Kumar, Ashish Sureka
2019	J	`jnl`	Software reusability metrics prediction and cost estimation by using machine learning algorithms. Int. J. Knowl. Based Intell. Eng. Syst. Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar, Neelamadhab Padhy, Suresh Chandra Satapathy
2018	—	`conf`	An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework. COMPSAC (1) Lov Kumar, Ashish Sureka
2018	J	`jnl`	An effective fault prediction model developed using an extreme learning machine with various kernel methods. Frontiers Inf. Technol. Electron. Eng. Lov Kumar, Anand Tirkey, Santanu Ku. Rath
2018	—	`conf`	Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level. ICONIP (5) Lov Kumar, Shashank Mouli Satapathy, Aneesh Krishna
2018	C	`conf`	Bayesian Logistic Regression for software defect prediction (S). SEKE Jinu M. Sunil, Lov Kumar, Lalita Bhanu Murthy Neti
2018	J	`jnl`	Effective fault prediction model developed using Least Square Support Vector Machine (LSSVM). J. Syst. Softw. Lov Kumar, Saikrishna Sripada, Ashish Sureka, Santanu Ku. Rath
2018	—	`conf`	Feature Selection Techniques to Counter Class Imbalance Problem for Aging Related Bug Prediction: Aging Related Bug Prediction. ISEC Lov Kumar, Ashish Sureka
2017	J	`jnl`	A Bibliometric Study of ACM SIGSOFT Software Engineering Notes from 2007 to 2016. ACM SIGSOFT Softw. Eng. Notes Lov Kumar, Ranjan Kumar Behera, Santanu Kumar Rath, Ashish Sureka
2017	J	`jnl`	A Comparative Study of Different Source Code Metrics and Machine Learning Algorithms for Predicting Change Proneness of Object Oriented Systems. CoRR Lov Kumar, Ashish Sureka
2017	—	`conf`	An Empirical Analysis on Effective Fault Prediction Model Developed Using Ensemble Methods. COMPSAC (1) Lov Kumar, Santanu Kumar Rath, Ashish Sureka
2017	J	`jnl`	An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes. Comput. Stand. Interfaces Lov Kumar, Sanjay Misra, Santanu Ku. Rath
2017	—	`conf`	Analyzing fault prediction usefulness from cost perspective using source code metrics. IC3 Lov Kumar, Ashish Sureka
2017	C	`conf`	Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level. APSEC Lov Kumar, Ashish Sureka
2017	—	`conf`	Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness. ISEC Lov Kumar, Santanu Kumar Rath, Ashish Sureka
2017	J	`jnl`	Empirical validation for effectiveness of fault prediction technique based on cost analysis framework. Int. J. Syst. Assur. Eng. Manag. Lov Kumar, Santanu Ku. Rath
2017	—	`conf`	Estimating Web Service Quality of Service Parameters using Source Code Metrics and LSSVM. QuASoQ@APSEC Lov Kumar, Santanu Kumar Rath, Ashish Sureka
2017	J	`jnl`	Maintainability prediction of web service using support vector machine with various kernel methods. Int. J. Syst. Assur. Eng. Manag. Lov Kumar, Mukesh Kumar, Santanu Ku. Rath
2017	—	`conf`	Nearness and Influence Based Link Prediction (NILP) in Distributed Platform. ICCSA (6) Ranjan Kumar Behera, Lov Kumar, Monalisa Jena, Sambit Mahapatra, Abhishek Sai Shukla, Santanu Kumar Rath
2017	—	`conf`	Neural network with multiple training methods for web service quality of service parameter prediction. IC3 Lov Kumar, Ashish Sureka
2017	J	`jnl`	Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept. Int. J. Syst. Assur. Eng. Manag. Lov Kumar, Santanu Ku. Rath
2017	J	`jnl`	The impact of feature selection on maintainability prediction of service-oriented applications. Serv. Oriented Comput. Appl. Lov Kumar, Aneesh Krishna, Santanu Ku. Rath
2017	J	`jnl`	Transfer Learning for Cross-Project Change-Proneness Prediction in Object-Oriented Software Systems: A Feasibility Analysis. ACM SIGSOFT Softw. Eng. Notes Lov Kumar, Ranjan Kumar Behera, Santanu Kumar Rath, Ashish Sureka
2017	J	`jnl`	Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction. CoRR Lov Kumar, Santanu Kumar Rath, Ashish Sureka
2017	—	`conf`	Using Source Code Metrics and Multivariate Adaptive Regression Splines to Predict Maintainability of Service Oriented Software. HASE Lov Kumar, Santanu Kumar Rath, Ashish Sureka
2017	—	`conf`	Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level. ISEC Lov Kumar, Ashish Sureka
2017	—	`conf`	Using source code metrics to predict change-prone web services: A case-study on ebay services. MaLTeSQuE Lov Kumar, Santanu Kumar Rath, Ashish Sureka
2016	J	`jnl`	A Bibliometric Study of Asia Pacific Software Engineering Conference from 2010 to 2015. CoRR Lov Kumar, Saikrishna Sripada, Ashish Sureka
2016	C	`conf`	A Review of Six Years of Asia-Pacific Software Engineering Conference. APSEC Lov Kumar, Saikrishna Sripada, Ashish Sureka
2016	J	`jnl`	Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software. J. Syst. Softw. Lov Kumar, Santanu Ku. Rath
2016	—	`conf`	Predicting Quality of Service (QoS) Parameters using Extreme Learning Machines with Various Kernel Methods. QuASoQ/TDA@APSEC Lov Kumar, Santanu Kumar Rath, Ashish Sureka
2016	—	`conf`	Source code metrics for programmable logic controller (PLC) ladder diagram (LD) visual programming language. WETSoM@ICSE Lov Kumar, Raoul Jetley, Ashish Sureka
2016	J	`jnl`	Thirteen Years of Mining Software Repositories (MSR) Conference - What is the Bibliography Data Telling Us? CoRR Lov Kumar, Ashish Sureka
2015	—	`conf`	Predicting Object-Oriented Software Maintainability using Hybrid Neural Network with Parallel Computing Concept. ISEC Lov Kumar, Santanu Ku. Rath
2015	C	`conf`	Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines. APSEC Lov Kumar, Santanu Kumar Rath