All Stories

  1. Proactive Software Fault Prediction with LLMs, Balanced ML, and Postmortem Analysis

    Article • February 2026, ACM (Association for Computing Machinery)

    LOV KUMAR

  2. Report on Data Science Challenge at ISEC 2026

    Article • February 2026, ACM (Association for Computing Machinery)

    LOV KUMAR

  3. Feature Selection and SHAP-Based Interpretability in ML Models for AMR Prediction in Klebsiella Pneumoniae

    Article • January 2026, Springer Science + Business Media

    LOV KUMAR

  4. Mitigating Data Sparsity in Recommender Systems Using Hybrid Cross-Domain Learning Strategy

    Article • January 2026, Springer Science + Business Media

    LOV KUMAR

  5. Nested deep learning with learned network embeddings for software defect prediction

    Article • Applied Soft Computing, April 2025, Elsevier

    LOV KUMAR

  6. Enhanced Software Fault Prediction by Analyzing Code Comments using CodeBERT

    Article • February 2025, ACM (Association for Computing Machinery)

    LOV KUMAR

  7. 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

    Article • February 2025, ACM (Association for Computing Machinery)

    LOV KUMAR

  8. A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models

    Article • February 2024, ACM (Association for Computing Machinery)

    Professor Aneesh Krishna, LOV KUMAR, Vikram Singh

  9. Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction

    Article • Expert Systems with Applications, August 2023, Elsevier

    LOV KUMAR

  10. Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers

    Article • February 2023, ACM (Association for Computing Machinery)

    LOV KUMAR, Professor Aneesh Krishna, Anirudh A

  11. A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics

    Article • February 2023, ACM (Association for Computing Machinery)

    Professor Aneesh Krishna, LOV KUMAR

  12. Discerning Android Malwares Using Extreme Learning Machine

    Article • January 2022, Springer Science + Business Media

    LOV KUMAR

  13. Policing Android Malware Using Object-Oriented Metrics and Machine Learning Techniques

    Article • January 2022, Springer Science + Business Media

    LOV KUMAR

  14. Sniffing Android Malware Using Deep Learning

    Article • January 2022, Springer Science + Business Media

    LOV KUMAR

  15. Somatic Variants and Exon-Level Copy Number Changes in Five Hyperplastic Oral Leukoplakias

    Article • Cytogenetic and Genome Research, January 2022, Karger Publishers

    LOV KUMAR

  16. Dysregulation of Schizophrenia-Associated Genes and Genome-Wide Hypomethylation in Neurons Overexpressing DNMT1

    Article • Epigenomics, October 2021, Taylor & Francis

    LOV KUMAR

  17. An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction

    Article • February 2021, ACM (Association for Computing Machinery)

    LOV KUMAR

  18. An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data

    Article • January 2021, Springer Science + Business Media

    LOV KUMAR

  19. An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction

    Article • December 2020, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  20. An Empirical Framework to Investigate the Impact of Bug Fixing on Internal Quality Attributes

    Article • Arabian Journal for Science and Engineering, November 2020, Springer Science + Business Media

    LOV KUMAR

  21. Application of Naïve Bayes classifiers for refactoring Prediction at the method level

    Article • March 2020, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  22. Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques

    Article • February 2020, ACM (Association for Computing Machinery)

    LOV KUMAR

  23. A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks

    Article • January 2020, Springer Science + Business Media

    LOV KUMAR

  24. An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction

    Article • January 2020, Springer Science + Business Media

    LOV KUMAR

  25. Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers

    Article • January 2020, Springer Science + Business Media

    LOV KUMAR

  26. An Effective Web Service Anti-Pattern Prediction Model Using SMOTE

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  27. Anatomizing Android Malwares

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  28. Quality of service (QoS) parameters prediction for web services using hybrid neural network and ensemble methods

    Article • International Journal of Systems Assurance Engineering and Management, November 2019, Springer Science + Business Media

    LOV KUMAR

  29. Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics

    Article • International Journal of Systems Assurance Engineering and Management, August 2019, Springer Science + Business Media

    LOV KUMAR

  30. An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction

    Article • July 2019, KSI Research Inc.

    LOV KUMAR

  31. An Empirical Framework for Code Smell Prediction using Extreme Learning Machine*

    Article • March 2019, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  32. An Empirical Framework for Web Service Anti-pattern Prediction using Machine Learning Techniques

    Article • March 2019, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  33. Change-Proneness of Object-Oriented Software Using Combination of Feature Selection Techniques and Ensemble Learning Techniques

    Article • February 2019, ACM (Association for Computing Machinery)

    LOV KUMAR

  34. Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques

    Article • February 2019, ACM (Association for Computing Machinery)

    LOV KUMAR, Dr. Shashank Mouli Satapathy

  35. An Evolutionary GA-Based Approach for Community Detection in IoT

    Article • IEEE Access, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  36. Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions

    Article • January 2019, ACM (Association for Computing Machinery)

    LOV KUMAR

  37. Prediction of Refactoring-Prone Classes Using Ensemble Learning

    Article • January 2019, Springer Science + Business Media

    LOV KUMAR

  38. Prediction of Quality of Service Parameters Using Aggregate Software Metrics and Machine Learning Techniques*

    Article • December 2018, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  39. An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  40. An effective fault prediction model developed using an extreme learning machine with various kernel methods

    Article • Frontiers of Information Technology & Electronic Engineering, July 2018, Journal of Zhejiang University SCIENCE

    LOV KUMAR

  41. Bayesian Logistic Regression for software defect prediction (S)

    Article • July 2018, KSI Research Inc.

    LOV KUMAR

  42. Effective fault prediction model developed using Least Square Support Vector Machine (LSSVM)

    Article • Journal of Systems and Software, March 2018, Elsevier

    LOV KUMAR

  43. Feature Selection Techniques to Counter Class Imbalance Problem for Aging Related Bug Prediction

    Article • February 2018, ACM (Association for Computing Machinery)

    LOV KUMAR

  44. Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level

    Article • January 2018, Springer Science + Business Media

    LOV KUMAR, Dr. Shashank Mouli Satapathy

  45. Aging Related Bug Prediction using Extreme Learning Machines

    Article • December 2017, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  46. Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level

    Article • December 2017, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  47. An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes

    Article • Computer Standards & Interfaces, August 2017, Elsevier

    LOV KUMAR

  48. Analyzing fault prediction usefulness from cost perspective using source code metrics

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  49. Neural network with multiple training methods for web service quality of service parameter prediction

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  50. An Empirical Analysis on Effective Fault Prediction Model Developed Using Ensemble Methods

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  51. Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept

    Article • International Journal of Systems Assurance Engineering and Management, April 2017, Springer Science + Business Media

    LOV KUMAR

  52. Using source code metrics to predict change-prone web services: A case-study on ebay services

    Article • February 2017, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  53. Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness

    Article • February 2017, ACM (Association for Computing Machinery)

    LOV KUMAR

  54. Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level

    Article • February 2017, ACM (Association for Computing Machinery)

    LOV KUMAR

  55. Nearness and Influence Based Link Prediction (NILP) in Distributed Platform

    Article • January 2017, Springer Science + Business Media

    LOV KUMAR

  56. Using Source Code Metrics and Multivariate Adaptive Regression Splines to Predict Maintainability of Service Oriented Software

    Article • January 2017, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  57. Empirical validation for effectiveness of fault prediction technique based on cost analysis framework

    Article • International Journal of Systems Assurance Engineering and Management, December 2016, Springer Science + Business Media

    LOV KUMAR

  58. The impact of feature selection on maintainability prediction of service-oriented applications

    Article • Service Oriented Computing and Applications, November 2016, Springer Science + Business Media

    LOV KUMAR

  59. Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software

    Article • Journal of Systems and Software, November 2016, Elsevier

    LOV KUMAR

  60. Prediction of reliability for service-oriented systems

    Article • April 2016, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  61. Maintainability prediction of web service using support vector machine with various kernel methods

    Article • International Journal of Systems Assurance Engineering and Management, February 2016, Springer Science + Business Media

    LOV KUMAR

  62. Application of genetic algorithm as feature selection technique in development of effective fault prediction model

    Article • January 2016, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  63. A Review of Six Years of Asia-Pacific Software Engineering Conference

    Article • January 2016, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  64. Analysis of control flow complexity metrics for web service composition

    Article • January 2016, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  65. Source code metrics for programmable logic controller (PLC) ladder diagram (LD) visual programming language

    Article • January 2016, ACM (Association for Computing Machinery)

    LOV KUMAR

  66. Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines

    Article • December 2015, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  67. A model to assess the effectiveness of fault prediction techniques for quality assurance

    Article • December 2015, Institute of Electrical & Electronics Engineers (IEEE)

    LOV KUMAR

  68. Predicting Object-Oriented Software Maintainability using Hybrid Neural Network with Parallel Computing Concept

    Article • February 2015, ACM (Association for Computing Machinery)

    LOV KUMAR

  69. Validating the Effectiveness of Object-Oriented Metrics for Predicting Maintainability

    Article • Procedia Computer Science, January 2015, Elsevier

    LOV KUMAR

  70. Neuro – Genetic Approach for Predicting Maintainability Using Chidamber and Kemerer Software Metrics Suite

    Article • January 2015, Springer Science + Business Media

    LOV KUMAR