Sentence examples for development estimation from inspiring English sources

This research proposes and evaluates a neural network-based software development estimation model.

At the first stage of the conceptual development estimation of the required properties from the known experimental data can be useful for selection of suitable molten salt compositions.

Therefore the main aim in this study was to apply computational intelligence methodology, artificial neural network approach, for economic development estimation based on different science and technology factors.

Though pleiotropy, which refers to the phenomenon of a gene affecting multiple traits, has long played a central role in genetics, development, and evolution, estimation of the number of pleiotropy components remains a hard mission to accomplish.

This work presents a shift-invariant morphological system to solve the problem of software development cost estimation (SDCE).

Analogy-based Software development Effort Estimation (ASEE) techniques have gained considerable attention from the software engineering community.

In this work we present an evolutionary morphological approach to solve the software development cost estimation (SDCE) problem.

Regression analysis to generate predictive equations for software development effort estimation has recently been complemented by analyses using less common methods such as fuzzy logic models.

In this paper we propose a hybrid methodology to design morphological-rank-linear (MRL) perceptrons in the problem of software development cost estimation (SDCE).

Currently used software development effort estimation models such as, COCOMO and Function Point Analysis, do not consistently provide accurate project cost and effort estimates.

In this sense, to overcome this limitation, we present a particular class of hybrid multilayer perceptrons, called the multilayer dilation-erosion-linear perceptron (MDELP), to deal with software development effort estimation problems.