Research on Software Fault Distribution for Web Application
نویسندگان
چکیده
This paper studies multiple software fault distribution model, then extends the ideas of software fault estimation based on the analysis of a large number of project fault data. It presents the estimation model of software faults distribution for Web Application, which refers to the G-O model and Rayleigh model. This paper fits the fault prediction model and shows the steps to determine the relevant parameters. Firstly, estimating the probability of finding a fault according to similar project data. Then estimating the total number of faults. Software fault estimation model has certain directive significance to the prediction and planning projects.Experiments show that the model has great potential to predict software fault.
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