Weibull distribution in modeling component faults

Cost efficiency and the issue of quality are pushing software companies to constantly invest in efforts to produce enough quality applications that will arrive in time, with good enough quality to the customer. Quality is not for free, it has a price. Using the different methods of prediction, characteristic parameters will be obtained and will lead to the conclusions about quality even prior the beginning of the project. The Weibull distribution is by far the world's most popular statistical model for life data. On the other hand, exponential distribution and Rayleigh distribution are special cases of Weibull distribution. If we want to model and predict software component quality with mentioned distribution we should take some assumption regarding them. Prediction of component quality will take us to preventive and corrective action in the organization. Based on the results of prediction and modeling of software components faults prior the project start, during project execution and finally during maintenance stage of the component lifecycle some conclusion can be made. In this paper software component prediction using different mathematical models will be presented.