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Decision making under uncertainty is a critical problem in the field of software engineering. Predicting the software quality or the cost/ effort requires high level expertise. AI based predictor models, on the other hand, are useful decision making tools that learn from past projects' data. In this study, we have built an effort estimation model for a multinational bank to predict the effort prior...
Estimating the amount of effort required for developing a software system is one of the most important project management concerns. This study successfully produces an optimal reduced linear model for software cost estimation by employing a series of methods of multiple regressions to identify the most significant explanatory variables of the fifteen COCOMO cost drivers. The results yielded by the...
Software companies are currently investing large amounts of money in software process improvement initiatives in order to enhance their products' quality. These initiatives are based on software quality models, thus achieving products with guaranteed quality levels. In spite of the growing interest in the development of precise prediction models to estimate effort, cost, defects and other project's...
To estimate software effort according to software size, statistical analysis was held using the historical project data. The tool statistics method and the programming statistics method were adopted independently for linearity regression analysis. After the regression analysis, the linearity regression equation was obtained. The final studies showed that the outcomes obtained by these two methods...
To ensure the estimation accuracy of software project schedule and improve the timely completion of the projects, a quantitative estimation guide of software project was studied combined with some actual project cases. A non-linear regression curve was obtained by the use of statistical analysis methods, on base of this a schedule estimation guide model was built and the use of the model was studied...
A crucial issue in the software cost estimation area that has attracted the interest of software project managers is the selection of the best prediction method for estimating the cost of a project. Most of the prediction techniques estimate the cost from historical data. The selection of the best model is based on accuracy measures that are functions of the predictive error, whereas the significance...
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