Software Cost Estimation Based on the Robust Regression Algorithm
Li Ma · Science Technology and Engineering · 2008
Along with the unceasing expansion and the complex degree daily enlarging of the software system scale,it appears the typical software crisis such as the massive software project progress extension,the budget overspending and the quality flaw from the 20th century 60's last stages.The correlated software organization or the software product certain historical data can obtain carry on the estimation of the software project in the usual situation,and it is helpful to take advantage of these data to forecast the future software projects.The robust regression analysis (RRA) is such one kind quite commonly used and the effective data actuation method.Based on some retrospective studies of RRA,focuses on some problems of the software cost estimation data with ordinary methods and tries to propose the RRA methods to analysis of the software development cost estimation data and effectively solutes to the problem of masking effects when the outliers exist.The results are found that this method could solve effectively the masking effects by outliers and obtained better results.