Innovation of Reliability to Improve Software Predictive Models
نویسنده
چکیده
In the real-world environment web applications are rapidly developed. To depend upon this web applications information transformation can be easily upgraded, thru certain networking environment depending upon software and hardware can be used. The aim of web application is the customer satisfaction; due to this factor such applications can be majorly dependent on reliability fact. The reliability of web application is more complex compare with stand-alone applications. Software Prediction or Estimation to improve the reliability models about evolution of software applications. Visualize the reliability will help improving the overall performance of application. The data on failures of the model is typically obtained during the last stages of testing. In this paper, we propose software prediction model based on software reliability, to improve the failure data. A NonHomogeneous based Exponential Distribution is considered, applied on dataset. The failure data is acceptable for software reliability and failure parameters are estimate using Least Square Estimation (LSE) method, to find the reliability of various Software Reliability Growth models. Keywords— Least Square Estimation, Non-Homogeneous, Exponential Distribution etc.
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