Development of Software Reliability Growth Models for Industrial Applications Using Fuzzy Logic

Free registration required

Executive Summary

Machine Learning (ML) and Soft Computing techniques, such as Genetic Algorithms (GAs), Genetic Programming (GP), Evolutionary Strategies (ESs), Artificial Neural Networks (ANN), Fuzzy Logic (FL) and Particle Swarm Optimization (POS), to solve software engineering problems expanded in the recent years. The author explored the use of Particle Swarm Optimization (PSO) algorithm to estimate SRGM parameters. The proposed method shows significant advantages in handling variety of modeling problems such as the EXPonential Model (EXPM), POWer Model (POWM) and Delayed S-Shaped Model (DSSM).

  • Format: PDF
  • Size: 168.97 KB