In recent years, utilization of feature selection techniques has become an essential requirement for processing and model construction in different scientific areas. In the field of software project effort estimation, the need to apply dimensionality reduction and feature selection methods has become an inevitable demand. The high volumes of data, costs, and time necessary for gathering data , ...

Nowadays, effort estimation in software projects is turned to one of the key concerns for project managers. In fact, accurately estimating of essential effort to produce and improve a software product is effective in software projects success or fail, which is considered as a vital factor. Lack of access to satisfying accuracy and little flexibility in existing estimation models have attracted ...

Software project managers have expressed concern over their inability to estimate accurately the costs associated with software development. Various cost estimation methods are available for use in software development process but concern lies in selecting better software cost estimation model to arrive at accurate cost estimation. This paper gave an overview of software cost estimation and ans...

Early and accurate estimation of software size plays an important role in facilitating effort and cost estimation of software systems. One of the commonly used methodologies for software size estimation is Function Point Analysis (FPA). The purpose of Software size estimation and effort estimation techniques is to provide a useful measure of the software complexities, efforts, and costs involve...

sorting and classification of agricultural products by machine vision system reduce costs and increase quality and accuracy. this research was performed to develop an algorithm and machine vision system for separating dirty and defects eggs and classifying by volume and weight. this machine installed on transport line egg in agriculture included a digital camera, computer and mechanical device ...

In this paper an efficient three- stage algorithm is developed for software production cost and time estimation. First stage includes a hybrid model composed of COCOMO and Function Points methods to increase estimation accuracy. Second stage encompasses paired comparisons matrix of analytical hierarchy process to determine amount of any resources consumed in each step of software production by ...

One important problem with software development projects is to get an early and nevertheless accurate estimation of the software development costs. In the literature various methods have been developed for this purpose. The most popular examples are Boehm's COCOMO , Albrecht's function-point method or Sneed's object-point method . The two last-named methods are based on early results of the ana...

This paper proposes a new approach to estimate software costs using case-based reasoning. In this approach, the costs of a new software project are estimated by firstly retrieving the similar previous project and then adapting its costs to the current conditions. The approach focus on the estimation within a narrow context. The project is described as an ontology which allows the managers to es...

One of the major challenges for software, nowadays, is software cost estimation. It refers to estimating the cost of all activities including software development, design, supervision, maintenance and so on. Accurate cost-estimation of software projects optimizes the internal and external processes, staff works, efforts and the overheads to be coordinated with one another. In the management sof...

In their lifetime software systems usually need to be adapted in order to fit in a changing environment or to cover new required functionality. The effort necessary for implementing changes is related to the maintainability of the software system. Therefore, maintainability is an important quality aspect of software systems. Today Software Architecture plays an important role in achieving softw...