Research on Software Reliability Assessment with Optimum Reserved Strategy Genetic Programming
SUN ShengJuan -, Zhao Jing, CHEN HuaShan - · Journal of Convergence Information Technology · 2012
The software failure data can be analyzed by Genetic Programming (GP for short). Meanwhile, the Particle Swarm Optimization (PSO for short) algorithm is taken to find the rational parameters during the dynamic modeling and finally the optimized model structure of software reliability can be obtained, all of which can make sure the accuracy of software reliability forecasting can be dramatically improved. This paper has also analyzed and validated Genetic Programming has the convergent characteristics, which make use of optimum reserved strategy. And the results testify that Genetic Programming can meet the best solution needs of the variety disciplinary of the failure behaviors, which can further testify Genetic Programming is able to apply for software system testing as well as guarantee the availability of the data. The application inconsistency of new model shows obviously comparing with other traditional models, which has much more theory research merit and practical application meaning to the analysis of software reliability models as well as the forecast of software failure behaviors.