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...

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Within the cost estimation literature and in practice within organisations a range of cost estimation methods are used to predict costs prior to activities being undertaken. Estimates generated utilising different estimation methods provide different projections of the anticipated cost. The projected differences in cost could have a significant impact on the overall viability of a project or th...

Sequential Search with Refinement: Model and Application with Click-stream Data We propose a structural model of consumer sequential search under uncertainty about attribute levels of products. Our identification of the search model relies on exclusion restriction variables that separate consumer utility and search cost. Because such exclusion restrictions are often available in online click-st...

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AIMS A clinically useful website at the US National Institutes of Child Health and Human Development (NICHD) uses an algorithm based on a recent publication to estimate peri-viable neonatal outcomes. This algorithm uses gestational age, ultrasound estimated fetal weight (EFW), fetal sex, and the use of antenatal corticosteroids as the basis for estimation of outcomes and when used after birth i...