This paper examines how a team of software professionals goes about estimating the effort of a software project using a judgment-based, bottom-up estimation approach. By employing a social practice perspective that highlights the distributed character of expertise and conceives actions as mediated by cultural tools, the paper analyzes the interactional process through which the estimation tasks...

Accurate estimates of development effort play an important role in the successful management of larger Web development projects. However, estimating the effort required in developing Web applications can be a difficult task. By applying measurement principles to measure the quality of applications and their development processes, feedback can be obtained to help control, improve and predict pro...

Accurate estimation of software development effort needs to consider numerous factors in software projects such as project size, programming language, application type, team size, development platform and so on. Software methodology is one of the most effective parameters in this field. Basically, software methodologies are used in software projects in order to manage activities, artifacts, rol...

Software effort estimates is an important part of software development work and provides essential input to project feasibility analyses, bidding, budgeting and planning. Analogy-based estimates models emerge as a promising approach, with comparable accuracy to arithmetic methods, and it is potentially easier to understand and apply. Studies show all the models are sensitive to the quality and ...

Analytic cost estimation is a valuable aid to assess the eeect of various machine and mapping parameters on program performance. Cost estimation is either based on a model of the parallel algorithm or on a model of the actually generated machine code. Especially in case of a distributed-memory system the diierence in abstraction is large. In this paper we study the trade-oo between analytic cos...

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...

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...