Software effort estimation requires high accuracy, but accurate estimations are difficult to achieve. Increasingly, data mining is used to improve an organization’s software process quality, e.g. the accuracy of effort estimations .There are a large number of different method combination exists for software effort estimation, selecting the most suitable combination becomes the subject of resear...

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...

Ensembles of learning machines are promising for software effort estimation (SEE), but need to be tailored for this task to have their potential exploited. A key issue when creating ensembles is to produce diverse and accurate base models. Depending on how differently different performance measures behave for SEE, they could be used as a natural way of creating SEE ensembles. We propose to view...

Software Effort estimation is the process of predicting the effort required to develop software project based on incomplete, uncertain and/or noisy input. Researchers have been working on estimation models to predict effort to be spent on a software project, which is still a complex problem. Estimation models derived by researchers are conclusion of studying large number of completed software p...

Cost estimation is a crucial field for companies developing software or software-intensive systems. Besides point estimates, effective project management also requires information about cost-related project risks, e.g., a probability distribution of project costs. One possibility to provide such information is the application of Monte Carlo simulation. However, it is not clear whether other sim...

Context: software development effort estimation is a crucial management task that critically depends on the adopted size measure. Several Functional Size Measurement (FSM) methods have been proposed. COSMIC is considered a 2nd generation FSM method, to differentiate it from Function Point Analysis (FPA) and its variants, considered as 1st generation ones. In the context of Web applications, few...