Abstract—In the literature we can identify two main approaches for sizing model-driven Web applications: one based on design measures and another based on functional measures. Design measures take into account the modeling primitives characterizing the models of the specific model-driven approach. On the other hand, the functional measures are obtained by applying functional size measurement procedures specifically conceived to map the modeling primitives of the model-driven approach into concepts of a functional size measurement method. In this paper, we focus our attention on the Object-Oriented Hypermedia (OO-H) method, a model-driven approach to design and develop Web applications. We report on the results of an empirical study carried out to compare the ability of some design measures and OO-HFP (a model-driven functional size measurement procedure) to predict the development effort of Web applications. To this aim, we exploited a dataset with 30 Web projects developed using OO-H. The analysis highlighted that each design measure was positively correlated with the Web application development effort. However, the best estimation model obtained by exploiting the Manual Stepwise Regression employed only the measure Internal Links (IL). Furthermore, the study highlighted that the estimates obtained with the IL based prediction model were significantly better than those achieved using the OO-HFP based prediction model. These results seem to confirm previous investigations suggesting that Function Point Analysis can fail to capture some specific features of Web applications. Keywords-Model-driven development; Web applications; Effort estimation; Design measures; Functional size measurement.

In the last few years, some researchers have proposed the use of COSMIC-FFP for effort prediction of Web applications. It is widely recognized, that a measure can be accepted only if its usefulness has been proved through some empirical studies. In this paper, we reported on an empirical study carried out using an industrial dataset and compared the results obtained with a previous analysis based on Web applications developed by academic students. We used an adaptation of COSMIC-FFP specifically conceived for Web applications as size measure and the Ordinary Least Square Regression as modelling technique. This analysis had a twofold goal: to verify whether COSMIC-FFP can provide good estimations and to analyse possible differences/similarities in the empirical results obtained with the two different datasets.

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Abstract — Estimating size and effort is a crucial factor in application development projects and low error margins are a priority. In line with the very fast evolution of Internet technologies, all applications are quickly becoming Web Applications. Thus there is a clear need for an estimation model for these applications ' development projects. The objective of this paper is to illustrate a new Web Application cost estimation model that can form the starting point for any development project. The concept of Web components can be well implied to calculate the Web size and effort. In this paper we have taken 10 projects of a software company and have calculated the effort and size using Web components.

Abstract — Several definitions of measures that aim at representing the size of software requirements are currently available. These measures have gained a quite relevant role, since they are one of the few types of objective measures upon which effort estimation can be based. However, traditional Functional Size Measures do not take into account the amount and complexity of elaboration required, concentrating instead on the amount of data accessed or moved. This is a problem since the amount and complexity of the required data elaboration affect the implementation effort, but are not adequately represented by the current size measures, including the standardized ones. Recently, a few approaches to measuring aspects of user requirements that are supposed to be related with functional complexity and/or data elaboration have been proposed by researchers. In this paper, we take into