Publications

Paper Publication: 

• International Journals                    26 (SCI: 10, SCOPUS (11)) 

• International Conferences          64 (CORE: 37, ISEC (10), INDICON (4))

•  International Workshops           5 

• Book Chapter                                      4

PUBLICATIONS 

Journal 

1. Sweta Mehta, Partha Paul, K.Sridhar Patnaik, Lov Kumar, Sanjay Misra, Software Defects Prediction using Network Embeddings of Call Graphs Soft Computing, Soft Computing, 2024 (SCI Journal: Impact Factor: 4.1)

2. Sonika Chandrakant Rathia, Sanjay Misra, Ricardo Colomo-Palacios, R Adarsha, Lalita Bhanu Murthy Neti, and Lov Kumar ”Empirical Evaluation of the Performance of Data Sampling and Feature Selection Techniques for Software Fault Prediction”, Expert Systems With Applications, 2023 (SCI Journal: Impact Factor: 8.66). 

3. Lov Kumar, Sahithi Tummalapalli, Sonika Chandrakant Rathi, Lalita Bhanu Murthy, Aneesh Krishna, Sanjay Misra, "Machine learning with word embedding for detecting web-services anti-patterns", Journal of Computer Languages, 2023 (SCI Journal: Impact Factor: 1.778). 

4. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, and Aneesh Krishna, ”Detection of Web Service Anti-Patterns Using Weighted Extreme Learning Machine ”,Computer Standards & Interfaces, 2021 (SCI Journal: Impact Factor: 2.48). 

5. Sonal Saxena, Sumana Choudhury, Pranay Amruth Maroju, Anuhya Anne, Lov Kumar, Kommu Naga Mohan, “Dysregulation of schizophrenia-associated genes and genome-wide hypomethylation in neurons overexpressing DNMT1”, Epigenomics (Accepted) (SCI Journal: Impact Factor: 4.98). 

6. Vinod Kumar Kulamala, Lov Kumar, and Durga Prasad Mohapatra, “Software Fault Prediction Using LSSVM with Different Kernel Functions”, Arabian Journal for Science and Engineering (Accepted) (SCI Journal: Impact Factor: 1.711). 

7. Lov Kumar, Sahithi Tummalapalli, and Lalita Bhanu Murthy Neti, “An Empirical Framework to Investigate the Impact of Bug Fixing on Internal Quality Attributes”, Arabian Journal for Science and Engineering (Accepted) (SCI Journal: Impact Factor: 1.711). 

8. Rasmita Panigrahi, Sanjay K Kuanar, Lov Kumar, Neelamadhab Padhy, “A systematic approach for Software refactoring Based on Class and Method Level for AI application”, International Journal of Powertrains (SCOPUS Indexed) (Accepted). 

9. Lov Kumar and Ashish Sureka, “Quality of Service (QoS) Parameters Prediction for Web Services using Hybrid Neural Network and Ensemble Methods”, International Journal of System Assurance Engineering and Management, 2019 (Accepted) (SCOPUS Indexed). 

10. Rasmita Panigrahi, Sanjay K Kuanar, Lov Kumar, Neelamadhab Padhy, Suresh Chandra Satapathy, “Software reusability metrics prediction and cost estimation by using machine learning algorithms”, International Journal of Knowledge-Based and Intelligent Engineering Systems, vol. 23, no. 4, pp. 317-328, 2019 (SCOPUS Indexed). 

11. Lov Kumar, Sangeeta Lal and Lalita Bhanu Murthy Neti, “Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics”, International Journal of System Assurance Engineering and Management, 2019 (Accepted) (SCOPUS Indexed). 

12. Sanket Mishra, Chinmay Hota, Lov Kumar, Abhaya Nayak, “An Evolutionary GA-based Approach for Community Detection in IoT”, IEEE Access , 2019 (Accepted) (SCI Journal: Impact Factor: 4.098). 

13. Harshit Gujral, Abhinav Sharma, Sangeeta Lal, and Lov Kumar, “A Three Dimensional Empirical Study of Logging Questions From Six Popular Q&A Websites”, e-Informatica Software Engineering Journal, 2019 (Accepted) (SCOPUS Indexed). 

14. Lov Kumar, Ranjan Kumar Behera, Ashish Sureka and Santanu Ku. Rath, “Transfer Learning for CrossProject Change-Proneness Prediction in Object-Oriented Software Systems: A Feasibility Analysis”, ACM SIGSOFT Software Engineering Notes (SEN), 2017 (Accepted) (SCOPUS Indexed).

15.  Lov Kumar, Ranjan Kumar Behera, Ashish Sureka and Santanu Ku. Rath, “A Bibliometric Study of ACM SEN from 2007 to 2016”, ACM SIGSOFT Software Engineering Notes (SEN), 2017 (Accepted) (SCOPUS Indexed). 

16. Lov Kumar, Sai Krishna Sripada, Ashish Sureka and Santanu Ku. Rath, “Effective Fault prediction Model Developed Using Least Square Support Vector Machine (LSSVM)”, Journal of Systems and Software, vol. 137, no. 1, pp. 686-712, 2018 (SCI Journal: Impact Factor: 2.829). 

17. Lov Kumar and Santanu Ku. Rath, “Neuro-Fuzzy: A Hybrid Neural Network and Fuzzy Logic Approach for Software Maintainability”, International Journal of System Assurance Engineering and Management, vol. 8, no. 2, pp. 1487–1502, 2017 (SCOPUS Indexed). 

18. Lov Kumar, Anand Trikey and Santanu Ku. Rath, “Effective Fault Prediction Model Developed Using Extreme Learning Machine with Various Kernel Methods”, Frontiers of Information Technology & Electronic Engineering, vol. 19, no. 7, pp. 864-888, 2018 (SCI Journal: Impact Factor: 2.161). 

19. Lov Kumar, Sanjay Misra and Santanu Ku. Rath, “An Empirical Analysis of the Effectiveness of Software Metrics and Fault Prediction Model for Identifying Faulty Classes”, Computer Standards & Interfaces, vol. 53, no. 2, pp. 1-32, 2017 (SCI Journal: Impact Factor: 2.487). 

20. Lov Kumar and Santanu Ku. Rath, “Empirical Validation for Effectiveness of Fault Prediction Technique Based on Cost Analysis Framework”, International Journal of System Assurance Engineering and Management, vol. 8, no. 2, pp. 1055–1068, 2017 (SCOPUS Indexed). 

21. Lov Kumar, Aneesh Krishna and Santanu Ku. Rath, “The Impact of Feature Selection on Maintainability Prediction of Service Oriented Applications”, Service Oriented Computing and Applications (SOCA), vol. 12, no. 1, pp. 1-25, 2016 (SCOPUS Indexed). 

22. Lov Kumar and Santanu Ku. Rath, “Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software”, Journal of Systems and Software, vol. 121, no. 1, pp. 170-190, 2016 (SCI Journal: Impact Factor: 2.829). 

23. Lov Kumar, Mukesh Kumar and Santanu Ku. Rath, “Maintainability prediction of web service using support vector machine with various kernel methods”, International Journal of System Assurance Engineering and Management, vol. 7, no. 2, pp. 1-18, 2016 (SCOPUS Indexed). 

24. Lov Kumar and Santanu Ku. Rath, “Hybrid neural network approach for predicting maintainability of object-oriented software”, INFOCOMP - Journal of Computer Science, vol. 13, no. 2, pp. 10-21, 2014. 

25. Yeresime Suresh, Lov Kumar and Santanu Ku. Rath, “Statistical and Machine Learning Methods for Software Fault Prediction using CK Metric Suite: A Comparative Analysis”, ISRN Software Engineering, vol. 2014, pp. 1-15, 2014. 

26. Yeresime Suresh, Lov Kumar and Santanu Ku. Rath, “A Cost Evaluation Framework for Software Fault Prediction using Radial Basis Function Network”, International Journal of Information Processing (IJIP), vol. 8, no. 2, pp. 1-15, 2014 

Conference 

1. Bathini Sai Akash, Lov Kumar, Vikram Singh, Anoop Kumar Patel and Aneesh Krishna ,"Empirical Analysis of Multi-label Classification on GitterCom using BERT ", 30th International Conference on Neural Information Processing (ICONIP 2023), (Accepted) (CORE B). 

2. Tumu Akshar, Lov Kumar, Dr. Yogita and Lalita Bhanu Murthy , “Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter ”, 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023 (CORE B). 

3. Lov Kumar, Vikram Singh, Lalita Bhanu Murthy, Sanjay Misra and Aneesh Krishna , “An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine ”, 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023 (CORE B).

4. Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni, “Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction”, 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023),, Prague, Czech Republic (Accepted) (CORE B). 

5. Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni, “Sentiment Analysis, Deep Learning, Data Imbalance Methods, Feature Selection, Classification Techniques, Word Embedding”, 18th International Conference on Evaluation of Novel Approaches to Software Engineering(ENASE 2023),, Prague, Czech Republic (Accepted) (CORE B). 

6. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna “A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics”,16th Innovations in Software Engineering Conference (ISEC 2023), India (Accepted). 

7. Anirudh A, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna “Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers”,16th Innovations in Software Engineering Conference (ISEC 2023), India (Accepted). 

8. Rasmita Panigrahi, Lov Kumar, and Sanjay Kumar kuanar “Automatic Identification of Class Level Refactoring using Abstract Syntax Tree and Embedding Technique”,29thInternational Conference on Neural Information Processing (ICONIP 2022), Bangkok (Accepted) (CORE B). 

9. Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy, and Prof. Sanjay Misra, “Software Functional Requirements Classification using Ensemble Learning”, The 22nd International Conference on Computational Science and its Applications (ICCSA-2022),, University of Malaga, Spain (Accepted) (CORE C).

10.  Venkata Krishna Chandra Mula, Sanidhya Vijayvargiya, Lov Kumar, Surender Singh Samant and Lalita Bhanu Murthy, “Software Sentiment Analysis using Machine Learning with Different Word-Embedding”, The 22nd International Conference on Computational Science and its Applications (ICCSA-2022),, University of Malaga, Spain (Accepted) (CORE C) (BEST PAPER Award). 

11. Achyuta Krishna V, Mithun Kumar S R, Aruna Malapati, Lov Kumar, “A comparative analysis of classical and pre-trained models for troll meme classification in Tamil”, DravidianLangTech-ACL2022, Dublin (Accepted) (ACL: CORE A*). 

12. Mithun Kumar S R, Lov Kumar, Aruna Malapati “Sentiment Analysis on Code-Switched Dravidian Languages with Kernel Based Extreme Learning Machines”, DravidianLangTech-ACL2022, Dublin (Accepted) (ACL: CORE A*). 

13. Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati,Lalita Bhanu Murthy, and Prof. Aneesh Krishna, “COVID-19 Article Classification using Word-Embedding and Extreme Learning Machine with Various Kernels”, The 36th International Conference on Advanced Information Networking and Applications (AINA2022), Sydney, Australia (Accepted) (CORE B). 

14. Sahithi Tummalapalli, Lov kumar, and Neti Lalita Bhanu Murthy, “Web Service Anti-Patterns Prediction Using LSTM with Varying Embedding Sizes”, The 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Sydney, Australia (Accepted) (CORE B). 

15. Lov Kumar, SIDDARTH BALDWA, SHREYA MANISH JAMBAVALIKAR, and Lalita Bhanu Murthy, “Software Functional and Non-Function Requirement Classification using Word-Embedding”, The 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Sydney, Australia (Accepted) (CORE B). 

16. Bathini Sai Akash, Pavan Kumar Reddy Yannam, Bokkasam Venkata Sai Ruthvik, Lov Kumar, Lalita Bhanu Murthy, and Prof. Aneesh Krishna, “Predicting Cyber-attacks on IoT Networks using Deep-Learning and Different Variants of SMOTE”, The 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Sydney, Australia (Accepted) (CORE B). 

17. Lov Kumar, Triyasha Ghosh Dastidar, Anjali Goyal, Lalita Bhanu Murthy, Prof. Sanjay Misra, Vipul Kocher and Srinivas Padmanabhuni, “Predicting Software Defect Severity Level using Deep-learning Approach with Various Hidden Layers”, 28th International Conference on Neural Information Processing (ICONIP) 2021 (CORE B). 

18. Mithun Kumar S R, Nihal Reddy, Aruna Malapati and Lov Kumar, “Investigation on code-mixed data for Sentiment classification on Dravidian Languages with ensemble models”, The 13th Forum for Information Retrieval Evaluation (FIRE’21), (Accepted). 

19. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti and Santanu Kumar Rath, “Detection of Web Service Anti-patterns Using Various Combinations of WSDL Metrics”, The 34th International Conference on Computer Applications in Industry and Engineering (CAINE 2021), (Accepted) (CORE C). 

20. Lov Kumar, Mukesh Kumar, Lalita Bhanu Murthy, Prof. Sanjay Misra, Vipul Kocher and Srinivas Padmanabhuni, “An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level”, 16th Conference on Computer Science and Intelligence Systems, FedCSIS 2021 (CORE B) (BEST PAPER Award). 

21. Lov Kumar, Triyasha Ghosh Dastidar, Lalita Bhanu Murthy, Shashank Mouli Satapathy, Vipul Kocher and Srinivas Padmanabhuni, “Deep-learning Approach With DeepXplore for Software Defect Severity Level Prediction”, The 21st International Conference on Computational Science and its Applications (ICCSA2021), University of Cagliari (Accepted) (CORE C). 

22. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy, “An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques”, The 21st International Conference on Computational Science and its Applications (ICCSA-2021), University of Cagliari (Accepted) (CORE C). 

23. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy, Vipul Kocher and Srinivas Padmanabhuni, “A Novel Approach for the Detection of Web Service Anti-Patterns Using Word Embedding Techniques”, The 21st International Conference on Computational Science and its Applications (ICCSA-2021), University of Cagliari (Accepted) (CORE C). 

24. Lov Kumar, Prakhar Gupta, Lalita Bhanu Murthy, Santanu Ku. Rath, Shashank Mouli Satapathy, Vipul Kocher and Srinivas Padmanabhuni, “Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning”,The 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA-2021), Palermo, Italy (Accepted) (CORE B). 

25. Himanshu Gupta, GULANIKAR ABHIRAM ANAND, Lov Kumar, and Lalita Bhanu Murthy Neti, “Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell”,The 21st International Conference on Computational Science and its Applications (ICCSA-2021), University of Cagliari (Accepted) (CORE C). 

26. Himanshu Gupta, Tanmay Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti and Aneesh Krishna, “An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models”,The 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Toronto, Canada (Accepted) (CORE B). 

27. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Ku. Rath “An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction”,14th Innovations in Software Engineering Conference (ISEC), India (Accepted). 

28. Himanshu Gupta, Sanjay Misra, Lov Kumar and N L Bhanu Murthy, “An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction using Imbalanced Data”,3rd International Conference on Information and Communication Technology and Applications (ICTA 2020), Nigeria (Accepted). 

29. Anand Tirkey, Ramesh Mohapatra and Lov Kumar, “Sniffing Android Malware using Deep Learning ”,26th Annual International Conference on Advanced Computing and Communications (ADCOM 2020), India (Accepted) (CORE B). 

30. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, and Aneesh Krishna“An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction”,22ndIEEE International Conference on High Performance Computing and Communications (IEEE HPCC-2020), Fiji (Accepted) (CORE B). 

31. Anand Tirkey, Ramesh Mohapatra and Lov Kumar, “Policing Android Malware using Object-Oriented Metrics and Machine Learning Techniques ”,26th Annual International Conference on Advanced Computing and Communications (ADCOM 2020), India (Accepted) (CORE B). 

32. Anand Tirkey, Ramesh Mohapatra and Lov Kumar, “Discerning Android Malwares using Extreme Learning Machine”,26th Annual International Conference on Advanced Computing and Communications (ADCOM 2020), India (Accepted) (CORE B). 

33. Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, and Aneesh Krishna“Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers”,27thInternational Conference on Neural Information Processing (ICONIP 2020), Bangkok (Accepted) (CORE A). 

34. Rasmita Panigrahi, Lov Kumar, and Sanjay Kumar kuanar “An Empirical Study to Investigate Different SMOTE Data Sampling Techniques For Improving Software Refactoring Prediction”,27thInternational Conference on Neural Information Processing (ICONIP 2020), Bangkok (Accepted) (CORE A). 

35. Sahithi Tummalapalli, Lov Kumar, and Lalita Bhanu Murthy Neti, “Prediction of Web Service Antipatterns Using Aggregate Software Metrics and Machine Learning Techniques”,13th Innovations in Software Engineering Conference (ISEC), India (Accepted). 

36. Sahithi Tummalapalli, Lov Kumar, and Lalita Bhanu Murthy Neti, “An Effective Web Service Anti-Pattern Prediction Model Using Smote”,16th Annual IEEE India Conference (INDICON 2019), India (Accepted). 

37. Anand Tirkey, Ramesh Mohapatra and Lov Kumar, “Anatomizing Android Malwares ”,26th Asia-Pacific Software Engineering Conference (APSEC 2019),Putrajaya, Malaysia (Accepted) (CORE B). 

38. VAMSI KRISHNA ARIBANDI, Lov Kumar, Lalita Bhanu Murthy, and Aneesh Krishna, “Prediction of Refactoring-Prone Classes using Ensemble Learning ”,26th International Conference on Neural Information Processing (ICONIP2019), Sydney, Australia (Accepted) (CORE A). 

39. Lov Kumar, Chinmay Hota, Arvind Mahindru, and Lalita Bhanu Murthy Neti, “Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions ”,15th Asian Internet Engineering Conference (AINTEC 2019), Phuket, August 2019 (Accepted). 

40. Chinmay Hota, Lov Kumar, and Lalita Bhanu Murthy Neti, “An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction”,25th International DMS Conference on Visualization and Visual Languages (DMSVIVA2019), Lisbon, Portugal (Accepted). 

41. Sahithi Tummalapalli, Lov Kumar, and Lalita Bhanu Murthy Neti, “An Empirical Framework for Web Service Anti-pattern Prediction using Machine Learning Techniques ”,9th Information Technology, Electromechanical and Microelectronics Conference (IEMECON 2019), Jaipur, India (Accepted). 

42. Himanshu Gupta, Lov Kumar, and Lalita Bhanu Murthy Neti, “An Empirical Framework for Code Smell Prediction using Extreme Learning Machine ”,9th Information Technology, Electromechanical and Microelectronics Conference (IEMECON 2019), Jaipur, India (Accepted) (Best Paper Award). 

43. Lov Kumar, Shashank Mouli Satapathy, and Lalita Bhanu Murthy Neti, “Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques ”,12th Innovations in Software Engineering Conference (ISEC 2019), Pune, India (Accepted). 

44. Lov Kumar, Sangeeta Lal, Anjali Goyal, and Lalita Bhanu Murthy Neti, “Change-Proneness of ObjectOriented Software using Using Combination of Feature Selection Techniques and Ensemble Learning Techniques ”,12th Innovations in Software Engineering Conference (ISEC 2019), Pune, India (Accepted). 

45. Manish K Tripathi, Divyanshu Chaubisa, Lov Kumar, and Lalita Bhanu Murthy Neti, “Prediction of Quality of Service Parameters Using Aggregate Software Metrics and Machine Learning Techniques ”,15th Annual IEEE India Conference (INDICON 2018), India. 

46. Lov Kumar, Shashank Mouli Satapathy, and Aneesh Krishna, “Application of SMOTE and LSSVM with various Kernels for Predicting Refactoring at Method Level ”,25th International Conference on Neural Information Processing (ICONIP2018), Siem Reap, Cambodia (Accepted) (CORE A). 

47. Lov Kumar, and Ashish Sureka, “An Empirical Analysis on Web Service Anti-Pattern Detection using a Machine Learning Framework ”,42nd IEEE Computer Software and Applications Conference (COMPSAC), Tokyo, Japan, pp. 2-11, 2018 (CORE B). 

48. Harshit Gujral, Abhinav Sharma, Sangeeta Lal, Amanpreet Kaur, Lov Kumar and Ashish Sureka , “Empirical Analysis of the Logging Questions on the SO Website ”,Conference On Software Engineering & Data Sciences (CoSEDS 2018), University of Kashmir, Srinagar, India (Accepted). 

49. Lov Kumar, and Ashish Sureka, “Feature Selection Techniques to Counter Class Imbalance Problem for Aging Related Bug Prediction: Aging Related Bug Prediction ”, 11th Innovations in Software Engineering Conference (ISEC 2018), Hyderabad, India, pp. 1-11, 2018. 

50. Lov Kumar, and Ashish Sureka, “Aging Related Bug Prediction using Extreme Learning Machines ”, 14th Annual IEEE India Conference (INDICON 2017), I.I.T Roorkee, Roorkee, Uttarakhand, India, pp. 1-6, 2017. 

51. Lov Kumar, Santanu Kumar Rath and Ashish Sureka, “Estimating Web Service Quality of Service Parameters using Source Code Metrics and LSSVM”, 5th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2017) 24th Asia-Pacific Software Engineering Conference (APSEC 2017), Nanjing , China, pp. 66-73, 2017. 

52. Lov Kumar, and Ashish Sureka, “Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level”, 24th Asia-Pacific Software Engineering Conference (APSEC 2017), Nanjing , China, pp. 90-99, 2017 (CORE B). 

53. Lov Kumar, and Ashish Sureka, “Neural Network with Multiple Training Methods for Web Service Quality of Service Parameter Prediction”, 10th International Conference on Contemporary Computing (IC3 2017), Delhi, India, pp. 1-7, 2017. 77. 

54. Lov Kumar, and Ashish Sureka, “Analyzing Fault Prediction Usefulness from Cost Perspective using Source Code Metrics”, 10th International Conference on Contemporary Computing (IC3 2017), Delhi, India, pp. 1-7, 2017. 

55. Ranjan Kumar Behera, Lov Kumar, Sambit Mahapatra, Abhishek Sai Shukla, and Santanu Kumar Rath, “Nearness and Influence based link prediction (NILP) in distributed platform”, 17th international Conference on Computational Science and Its Applications, Trieste, Italy, 325-334, 2017. 

56. Lov Kumar, Santanu Ku. Rath, and Ashish Sureka, “An Empirical Analysis on Effective Fault Prediction Model Developed using Ensemble Methods”, 41st IEEE Computer Software and Applications Conference (COMPSAC), Turin, Italy, pp. 244-249, 2017 (CORE B). 

57. Lov Kumar, Santanu Ku. Rath, and Ashish Sureka, “Using Source Code Metrics to Predict Change-Prone Web Services - A Case-Study on eBay Services”, MaLTeSQuE – Workshop on Machine Learning Techniques for Software Quality Evaluation co-located to 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017), Klagenfurt, Austria, pp. 1-7, 2017.

58. Lov Kumar, and Ashish Sureka, “Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level”, 10 th Innovations in Software Engineering Conference (ISEC 2017), Jaipur, India, pp. 172-180, 2017. 

59. Lov Kumar, Santanu Ku. Rath, and Ashish Sureka, “Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness”, 10 th Innovations in Software Engineering Conference (ISEC 2017), Jaipur, India, pp. 4-14, 2017. 

60. Lov Kumar, Santanu Ku. Rath, and Ashish Sureka, “Predicting Quality of Service (QoS) Parameters using Extreme Learning Machines with Various Kernel Methods”, 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016) co-located to 23rd Asia-Pacific Software Engineering Conference (APSEC 2016), Hamilton, New Zealand, pp. 11-18, 2016. 

61. Lov Kumar, Ashish Sureka, and Santanu Ku. Rath, “Using Source Code Metrics and Multivariate Adaptive Regression Splines to Predict Maintainability of Service Oriented Software”, 18th IEEE International Symposium on High Assurance Systems Engineering (HASE 2017), Singapore, pp. 88-95, 2017 (CORE B). 

62. Lov Kumar and Ashish Sureka, “A Review of Six Years of Asia-Pacific Software Engineering Conference”, 23rd Asia-Pacific Software Engineering Conference (APSEC 2016), Hamilton, New Zealand, pp. 341-344, 2016 (CORE B). 

63. Lov Kumar and Santanu Ku. Rath, “Application of Genetic Algorithm as Feature Selection Technique in Development of Effective Fault Prediction Model”, 3rd IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON 2016), UP, India, pp. 432-437, 2016 (Best Paper Award). 

64. Lov Kumar, Aneesh Krishna, Santanu Ku. Rath, and Swapan Bhattacharya “A Framework to Assess the Effectiveness of Quality Assessment Model Developed Using Class Level Metrics”, 25th International Conference on Data Engineering and Software Engineering (SEDE-2016), Marriott Tech Center, Denver, USA, pp. 23-28 2016. 

65. Sachin Arora, Lov Kumar and Santanu Ku. Rath, “ Prediction of Reliability for Service-Oriented Systems”, IEEE International Conference on Computing Communication and Automation (ICCCA-2016), Greater Noida, pp. 817-823, 2016. 

66. Lov Kumar, Raoul Jetley and Ashish Sureka, “Source Code Metrics for Programmable Logic Controller (PLC) Ladder Diagram (LD) Visual Programming Language”, International Workshop on Emerging Trends in Software Metrics (WETSOM) co-located to International Conference on Software Engineering (ICSE 2016), Austin, pp. 15-21, 2016. 

67. Suhas Honamore, Lov Kumar and Santanu Ku. Rath, “Analysis of Control Flow Complexity Metrics for Web Service Composition”, International Conference on Internet of Things and Applications (IOTA- 2016), Pune, 2015. 

68. Lov Kumar, Debendra Kumar Naik and Santanu Ku. Rath, “Validating the Effectiveness of Object-Oriented Metrics for Predicting Maintainability”, 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015), Noida, pp. 798-806, 2015. 

69. Lov Kumar and Santanu Ku. Rath, “A Model to Assess the Effectiveness of Fault Prediction Techniques for Quality Assurance”, 12th Annual IEEE India Conference (INDICON 2015), New Delhi, pp. 1-6, 2015. 

70. Lov Kumar and Santanu Ku. Rath, “Quality Assessment of Web Services using multivariate adaptive regression splines”, 22nd Asia-pacific Software Engineering Conference (APSEC 2015), New Delhi, pp. 238- 245, 2015 (CORE B). 

71. Lov Kumar and Santanu Ku. Rath, “Neuro–Genetic Approach for Predicting Maintainability Using Chidamber and Kemerer Software Metrics Suite”, 11th International Conference on Computing and Information Technology (IC2IT 2015), Bangkok, pp. 31-40, 2015.

72. Lov Kumar and Santanu Ku. Rath, “Predicting Object-Oriented Software Maintainability using Hybrid Neural Network with Parallel Computing Concept”, 8th India Software Engineering Conference (ISEC 2015), Bangalore, pp. 100-109, 2015.

73.  Lov Kumar, Yeresime Suresh and Santanu Ku. Rath, “Fault Prediction for Apache Open Source Framework using Chidamber and Kemerer Metrics Suite”, CONSEG: 7th International Conference on Software Engineering (CONSEG 2013), Pune, pp. 105-111, 2013.