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2020 – today
- 2024
[c63]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: 234-244- [c62]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: 292-302 - [c61]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: 6:1-6:11 - 2023
- [j21]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: 119806 (2023) - [j20]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: 101207 (2023) - [c60]Vikram Singh, Lov Kumar, Anoop Kumar Patel, Aneesh Krishna:
An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron. OCIT 2023: 485-490 - [c59]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: 396-403 - [c58]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: 453-460 - [c57]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: 181-188 - [c56]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: 335-346 - [c55]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: 240-252 - [c54]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: 10:1-10:7 - [c53]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: 19:1-19:5 - [e3]Sonali Agarwal, Abhik Roychoudhury, Rahul Purandare, Saurabh Tiwari, Lov Kumar:
16th Innovations in Software Engineering Conference, ISEC2023, Allahabad, India, February 23-25, 2023. ACM 2023, ISBN 979-8-4007-0064-4 [contents] - [i8]Kasturi Vasudevan, Surendra Kota, Lov Kumar, Himanshu Bhusan Mishra:
New Results on Single User Massive MIMO. CoRR abs/2303.13309 (2023) - [i7]Kasturi Vasudevan, Surendra Kota, Lov Kumar, Himanshu Bhusan Mishra:
Turbo Coded OFDM-OQAM Using Hilbert Transform. CoRR abs/2309.09620 (2023) - 2022
- [j19]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: 103621 (2022) - [j18]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): 1-31 (2022) - [c52]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: 69-81 - [c51]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: 167-179 - [c50]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: 243-255 - [c49]Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti:
Web Service Anti-patterns Prediction Using LSTM with Varying Embedding Sizes. AINA (1) 2022: 399-410 - [c48]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: 873-882 - [c47]Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra:
Software Requirements Classification using Deep-learning Approach with Various Hidden Layers. FedCSIS 2022: 895-904 - [c46]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: 15-30 - [c45]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: 396-410 - [c44]Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, N. L. Bhanu Murthy, Sanjay Misra:
Software Functional Requirements Classification Using Ensemble Learning. ICCSA (Workshops 5) 2022: 678-691 - [c43]Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar:
Automatic Identification of Class Level Refactoring Using Abstract Syntax Tree and Embedding Technique. ICONIP (3) 2022: 194-205 - [e2]Saurabh Tiwari, Sanjay Chaudhary, Chanchal K. Roy, Meenakshi D'Souza, Richa Sharma, Lov Kumar:
ISEC 2022: 15th Innovations in Software Engineering Conference, Gandhinagar, India, February 24 - 26, 2022. ACM 2022, ISBN 978-1-4503-9618-9 [contents] - 2021
- [j17]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): 1-18 (2021) - [c42]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: 120-132 - [c41]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: 379-386 - [c40]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: 477-484 - [c39]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: 1085-1093 - [c38]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: 43-53 - [c37]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: 217-230 - [c36]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: 263-276 - [c35]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: 398-410 - [c34]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: 465-473 - [c33]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: 744-751 - [c32]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: 19:1-19:5 - [e1]Durga Prasad Mohapatra, Samaresh Mishra, Tony Clark, Alpana Dubey, Richa Sharma, Lov Kumar:
ISEC 2021: 14th Innovations in Software Engineering Conference, Bhubaneswar, Odisha, India, February 25-27, 2021. ACM 2021, ISBN 978-1-4503-9046-0 [contents] - [i6]Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti:
Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. CoRR abs/2108.04656 (2021) - [i5]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 abs/2108.04659 (2021) - 2020
- [c31]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: 559-564 - [c30]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: 23-31 - [c29]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: 571-579 - [c28]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: 220-233 - [c27]Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy:
Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques. ISEC 2020: 8:1-8:11
2010 – 2019
- 2019
- [j16]Sanket Mishra, Chinmay Hota, Lov Kumar, Abhaya Nayak:
An Evolutionary GA-Based Approach for Community Detection in IoT. IEEE Access 7: 100512-100534 (2019) - [j15]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): 105-139 (2019) - [j14]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): 117-126 (2019) - [j13]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): 317-328 (2019) - [j12]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): 1234-1264 (2019) - [j11]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): 1577-1614 (2019) - [c26]Lov Kumar, Chinmay Hota, Arvind Mahindru, Lalita Bhanu Murthy Neti:
Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions. AINTEC 2019: 33-40 - [c25]Anand Tirkey, Ramesh Kumar Mohapatra, Lov Kumar:
Anatomizing Android Malwares. APSEC 2019: 450-457 - [c24]Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti:
An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction. DMSVIVA 2019: 83-94 - [c23]Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
Prediction of Refactoring-Prone Classes Using Ensemble Learning. ICONIP (5) 2019: 242-250 - [c22]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: 7:1-7:10 - [c21]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: 8:1-8:11 - [c20]Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti:
A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks. MLN 2019: 392-402 - 2018
- [j10]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: 686-712 (2018) - [j9]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): 864-888 (2018) - [c19]Lov Kumar, Ashish Sureka:
An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework. COMPSAC (1) 2018: 2-11 - [c18]Lov Kumar, Shashank Mouli Satapathy, Aneesh Krishna:
Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level. ICONIP (5) 2018: 150-161 - [c17]Lov Kumar, Ashish Sureka:
Feature Selection Techniques to Counter Class Imbalance Problem for Aging Related Bug Prediction: Aging Related Bug Prediction. ISEC 2018: 2:1-2:11 - [c16]Jinu M. Sunil, Lov Kumar, Lalita Bhanu Murthy Neti:
Bayesian Logistic Regression for software defect prediction (S). SEKE 2018: 421-420 - 2017
- [j8]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: 1-32 (2017) - [j7]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): 205-222 (2017) - [j6]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): 1055-1068 (2017) - [j5]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): 1487-1502 (2017) - [j4]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): 1-11 (2017) - [j3]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): 1-7 (2017) - [j2]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): 137-161 (2017) - [c15]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Estimating Web Service Quality of Service Parameters using Source Code Metrics and LSSVM. QuASoQ@APSEC 2017: 66-73 - [c14]Lov Kumar, Ashish Sureka:
Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level. APSEC 2017: 90-99 - [c13]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
An Empirical Analysis on Effective Fault Prediction Model Developed Using Ensemble Methods. COMPSAC (1) 2017: 244-249 - [c12]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: 88-95 - [c11]Lov Kumar, Ashish Sureka:
Analyzing fault prediction usefulness from cost perspective using source code metrics. IC3 2017: 1-7 - [c10]Lov Kumar, Ashish Sureka:
Neural network with multiple training methods for web service quality of service parameter prediction. IC3 2017: 1-7 - [c9]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: 325-334 - [c8]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness. ISEC 2017: 4-14 - [c7]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: 172-180 - [c6]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Using source code metrics to predict change-prone web services: A case-study on ebay services. MaLTeSQuE 2017: 1-7 - [i4]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction. CoRR abs/1704.04383 (2017) - [i3]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 abs/1712.07944 (2017) - 2016
- [j1]Lov Kumar, Santanu Ku. Rath:
Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software. J. Syst. Softw. 121: 170-190 (2016) - [c5]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: 27-34 - [c4]Lov Kumar, Saikrishna Sripada, Ashish Sureka:
A Review of Six Years of Asia-Pacific Software Engineering Conference. APSEC 2016: 341-344 - [c3]Lov Kumar, Raoul Jetley, Ashish Sureka:
Source code metrics for programmable logic controller (PLC) ladder diagram (LD) visual programming language. WETSoM@ICSE 2016: 15-21 - [i2]Lov Kumar, Ashish Sureka:
Thirteen Years of Mining Software Repositories (MSR) Conference - What is the Bibliography Data Telling Us? CoRR abs/1609.06266 (2016) - [i1]Lov Kumar, Saikrishna Sripada, Ashish Sureka:
A Bibliometric Study of Asia Pacific Software Engineering Conference from 2010 to 2015. CoRR abs/1610.09635 (2016) - 2015
- [c2]Lov Kumar, Santanu Kumar Rath:
Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines. APSEC 2015: 238-245 - [c1]Lov Kumar, Santanu Ku. Rath:
Predicting Object-Oriented Software Maintainability using Hybrid Neural Network with Parallel Computing Concept. ISEC 2015: 100-109
Coauthor Index
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