Cost engineers of buying enterprises perform detailed product cost calculations externally manufactured components. The aim these is to determine what a should and support purchasing functions in fact-based negotiations. While have deep knowledge the calculation direct cost, they need supplier´s indirect categories. industrial rent, which expressed annual per m² occupied plant building floor sp...

Software is valuable when it produces information in a manner that enables people and systems to meet their objectives more effectively. Software engineering techniques have value when they enable software developers to build more valuable software. Software economics is the sub-field of software engineering that seeks improvements which enable software engineers to reason more effectively abou...

Estimation (Forecasting) of industrial production costs is one of the most important factor affecting decisions in the highly competitive markets. Thus, accuracy of the estimation is highly desirable. Hibrid Regression Neural Network is an approach proposed in this paper to obtain better fitness in comparison with Regression Analysis and the Neural Network methods. Comparing the estimated resul...

Trying to predict the effort needed to test prewritten software is a complex problem as the amount of work involved in software testing depends on a number of independent and related factors (for example, lines of code, unit complexity etc.). Artificial neural networks appear well suited to problems of this nature as they can be trained to understand the explicit and inexplicit factors that dri...

BACKGROUND Subject recruitment for medical research is challenging. Slow patient accrual leads to increased costs and delays in treatment advances. Researchers need reliable tools to manage and predict the accrual rate. The previously developed Bayesian method integrates researchers' experience on former trials and data from an ongoing study, providing a reliable prediction of accrual rate for ...