Software adaptation for service-oriented systems
Proceedings of the 1st workshop on Middleware for Service Oriented Computing (MW4SOC 2006)
Three empirical studies on estimating the design effort of Web applications
ACM Transactions on Software Engineering and Methodology (TOSEM)
Software project effort estimation with voting rules
Decision Support Systems
A neural network approach for web cost estimation
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
Validating a size measure for effort estimation in model-driven Web development
Information Sciences: an International Journal
A revised web objects method to estimate web application development effort
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
A COSMIC-FFP approach to predict web application development effort
Journal of Web Engineering
Using web objects for development effort estimation of web applications: a replicated study
PROFES'11 Proceedings of the 12th international conference on Product-focused software process improvement
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Web development projects are certainly different from traditional software development projects and, hence, require differently tailored measures for accurate effort estimation. In this paper, we investigate the suitability of a newly proposed size measure for web development projects: Web Objects. Web Objects have been specifically developed for sizing web applications and used for estimating effort in a COCOMO II-like estimation model called WEBMO. However, no empirical validation has yet been published. In this study, for the first time, we apply and validate the proposed Web Object approach in the context of a smallAustralian web development company. Besides Web Objects, we apply traditional Function Points as an effort predictor for web applications. Effort estimation models based on Web Objects are compared with models based on traditional Function Points using ordinary least squares regression (OLS). Tested on data from twelve web applications, the estimates derived from estimation models using Web Objects significantly outperformed models using Function Points, with a Mean Magnitude of Relative Error of 0.24 versus 0.33, respectively. Based on the results of this study, it seems that Web Objects are more suitable for effort estimation purposes of web applications than traditional Function Points.