Accurate and realistic estimation is always considered to be a great challenge in software industry. Software Cost Estimation (SCE) is the standard application used to manage software projects. Determining the amount of estimation in the initial stages of the project depends on planning other activities of the project. In fact, the estimation is confronted with a number of uncertainties and bar...

This paper addresses the issue of Software Cost Estimation (SCE) providing an alternative approach to modelling and prediction using Artificial Neural Networks (ANN) and Input Sensitivity Analysis (ISA). The overall aim is to identify and investigate the effect of the leading factors in SCE, through ISA. The factors identified decisively influence software effort in the models examined and thei...

Software project management is one of the significant activates in the software development process. Software Development Effort Estimation (SDEE) is a challenging task in the software project management. SDEE is an old activity in computer industry from 1940s and has been reviewed several times. A SDEE model is appropriate if it provides the accuracy and confidence simultaneously before softwa...

There is a tremendous rise in cost of software, used in organizations. The cost of software ranges from hundred thousand to millions of dollars. The prediction of the software cost beforehand is the challenging area as the rough estimates and the actual cost varies with large differences. The traditional methods are being used since birth of software engineering. These methods based on current ...

one of the most important aspects of software project management is the estimation of cost and time required for running information system. therefore, software managers try to carry estimation based on behavior, properties, and project restrictions. software cost estimation refers to the process of development requirement prediction of software system. various kinds of effort estimation patter...

Software Cost Estimation is used for large-scaled and complex software systems leads managers to settle SCE as one of the most vital activities that is closely related to predicate the success or failure of the whole development process. Propose a statistical framework based on a multiple comparisons algorithm in order to rank several cost estimation models, identifying those which have signifi...

Recently, there has been a growing interest in estimation of sparse channels as they are observed in underwater acoustic and ultrawideband channels. In this paper we present a new Bayesian sparse channel estimation (SCE) algorithm that, unlike traditional SCE methods, exploits noise statistical information to improve the estimates. The proposed method uses approximate maximum a posteriori proba...

Users of Scientific Computing Environments (SCE) benefit from faster high-level software development at the cost of larger run time due to the interpreted environment. For time-consuming SCE applications, dividing the workload among several computers can be a cost-effective acceleration technique. Using our PVM and MPI toolboxes, MATLAB and Octave users in a computer cluster can parallelize the...