All Stories

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