We can say a software project is successful when it is delivered on time, within the budget and maintaining the required quality. However, nowadays software cost estimation is a critical issue for the advance software industry. As the modern software’s behaves dynamically so estimation of the effort and cost is significantly difficult. Since last 30 years, more than 20 models are already develo...

Estimating the costs of software development is one of the most important activities in software project management. Inaccuracies in such estimates may cause irreparable loss. A low estimate of the cost of projects will result in failure on delivery on time and indicates the inefficiency of the software development team. On the other hand, high estimates of resources and costs for a project wil...

Despite recent effort to estimate topology characteristics of large graphs (i.e., online social networks and peer-to-peer networks), little attention has been given to develop a formal methodology to characterize the vast amount of content distributed over these networks. Due to the large scale nature of these networks, exhaustive enumeration of this content is computationally prohibitive. In t...

Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the historical database considered contains data coming from projects of a heterogeneous nature. The segmentation of the input domain according to clusters obtained from the database of historical projects serves as a tool for...

Change effort estimation (CEE) is the process of predicting the work and the hours needed when there is a software change request. Software changes that are not correctly addressed, not complete and not consistent with other artefacts will introduce delay to the project and exceed the original budget. Requirement changes during software development phase are delicate to handle due to the fact t...

Software effort estimation is a critical part of software engineering. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software effort prediction is still a challenging endeavor. In order to address this issue, a novel soft computing framework was previously developed. Our study utilizes this novel framework to develop an approach c...

Both Agile Software Development (ASD) and Global Software Development (GSD) are 21 century trends in the software industry. Many studies are reported in the literature wherein software companies have applied an agile method or practice GSD. Given that effort estimation plays a remarkable role in software project management, how do companies perform effort estimation when they use agile method i...

Software metrics are currently used in the industry mainly for cost and effort estimation, while some research suggested their use as fault indicators. There are very few empirical studies in software measurement, especially in the realm of object-oriented metrics. There is no record of management system assessment using software metrics. In this paper we discuss the use of the established obje...

Existing algorithmic models fail to produce accurate software development effort estimates. To address this problem, a case-based reasoning model, called Estor, was developed based on the verbal protocols of a human expert solving a set of estimation problems. Estor was then presented with 15 software effort estimation tasks. The estimates of Estor were compared to those of the expert as well a...

To date many software engineering cost models have been developed to predict the cost, schedule and quality of the software under development. But, the rapidly changing nature of software development has made it extremely difficult to develop empirical models that continue to yield high prediction accuracies. Software development costs continue to increase and practitioners continually express ...