All Stories

  1. Integrating Postmortem Reports and Embedding Techniques for Fault Prediction
  2. Proactive Software Fault Prediction with LLMs, Balanced ML, and Postmortem Analysis
  3. Report on Data Science Challenge at ISEC 2026
  4. Feature Selection and SHAP-Based Interpretability in ML Models for AMR Prediction in Klebsiella Pneumoniae
  5. Mitigating Data Sparsity in Recommender Systems Using Hybrid Cross-Domain Learning Strategy
  6. Nested deep learning with learned network embeddings for software defect prediction
  7. Enhanced Software Fault Prediction by Analyzing Code Comments using CodeBERT
  8. 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
  9. A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models
  10. Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction
  11. Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers
  12. A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics
  13. Discerning Android Malwares Using Extreme Learning Machine
  14. Policing Android Malware Using Object-Oriented Metrics and Machine Learning Techniques
  15. Sniffing Android Malware Using Deep Learning
  16. Somatic Variants and Exon-Level Copy Number Changes in Five Hyperplastic Oral Leukoplakias
  17. Dysregulation of Schizophrenia-Associated Genes and Genome-Wide Hypomethylation in Neurons Overexpressing DNMT1
  18. An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction
  19. An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data
  20. An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction
  21. An Empirical Framework to Investigate the Impact of Bug Fixing on Internal Quality Attributes
  22. Application of Naïve Bayes classifiers for refactoring Prediction at the method level
  23. Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques
  24. A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks
  25. An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction
  26. Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers
  27. An Effective Web Service Anti-Pattern Prediction Model Using SMOTE
  28. Anatomizing Android Malwares
  29. Quality of service (QoS) parameters prediction for web services using hybrid neural network and ensemble methods
  30. Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics
  31. An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction
  32. An Empirical Framework for Code Smell Prediction using Extreme Learning Machine*
  33. An Empirical Framework for Web Service Anti-pattern Prediction using Machine Learning Techniques
  34. Change-Proneness of Object-Oriented Software Using Combination of Feature Selection Techniques and Ensemble Learning Techniques
  35. Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques
  36. An Evolutionary GA-Based Approach for Community Detection in IoT
  37. Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions
  38. Prediction of Refactoring-Prone Classes Using Ensemble Learning
  39. Prediction of Quality of Service Parameters Using Aggregate Software Metrics and Machine Learning Techniques*
  40. An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework
  41. An effective fault prediction model developed using an extreme learning machine with various kernel methods
  42. Bayesian Logistic Regression for software defect prediction (S)
  43. Effective fault prediction model developed using Least Square Support Vector Machine (LSSVM)
  44. Feature Selection Techniques to Counter Class Imbalance Problem for Aging Related Bug Prediction
  45. Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level
  46. Aging Related Bug Prediction using Extreme Learning Machines
  47. Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level
  48. An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes
  49. Analyzing fault prediction usefulness from cost perspective using source code metrics
  50. Neural network with multiple training methods for web service quality of service parameter prediction
  51. An Empirical Analysis on Effective Fault Prediction Model Developed Using Ensemble Methods
  52. Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept
  53. Using source code metrics to predict change-prone web services: A case-study on ebay services
  54. Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness
  55. Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level
  56. Nearness and Influence Based Link Prediction (NILP) in Distributed Platform
  57. Using Source Code Metrics and Multivariate Adaptive Regression Splines to Predict Maintainability of Service Oriented Software
  58. Empirical validation for effectiveness of fault prediction technique based on cost analysis framework
  59. The impact of feature selection on maintainability prediction of service-oriented applications
  60. Hybrid functional link artificial neural network approach for predicting maintainability of object-oriented software
  61. Prediction of reliability for service-oriented systems
  62. Maintainability prediction of web service using support vector machine with various kernel methods
  63. Application of genetic algorithm as feature selection technique in development of effective fault prediction model
  64. A Review of Six Years of Asia-Pacific Software Engineering Conference
  65. Analysis of control flow complexity metrics for web service composition
  66. Source code metrics for programmable logic controller (PLC) ladder diagram (LD) visual programming language
  67. Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines
  68. A model to assess the effectiveness of fault prediction techniques for quality assurance
  69. Predicting Object-Oriented Software Maintainability using Hybrid Neural Network with Parallel Computing Concept
  70. Validating the Effectiveness of Object-Oriented Metrics for Predicting Maintainability
  71. Neuro – Genetic Approach for Predicting Maintainability Using Chidamber and Kemerer Software Metrics Suite