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Tabu Search is a meta-heuristic approach successfully used to address optimization problems in several contexts. This paper reports the results of an empirical study carried out to investigate the effectiveness of Tabu Search in estimating Web application development effort. The dataset employed in this investigation is part of the Tukutuku database. This database has been used in several studies...
Support vector regression (SVR) is a new generation of machine learning algorithms, suitable for predictive data modeling problems. The objective of this paper is to investigate the effectiveness of SVR for Web effort estimation, in particular when dealing with a cross-company dataset. To gain a deeper insight on the method, we carried out an empirical study using four kernels for SVR, namely linear,...
Even if the adaptation of the COBRA method to the web has many appealing characteristics, its effectiveness in predicting Web application development effort has been previously assessed only in one empirical study, using the Web Objects measure. The study provided positive results,but it is widely recognized that several empirical investigations should be performed to validate/confirm the usefulness...
Some size measures have been proposed in the literature to be employed in estimating Web application development effort, but to date few empirical studies have been undertaken to validate them and compare their effectiveness. To address this issue we have performed an empirical study by using as size measures COSMIC and Web Objects, with the aim of verifying their effectiveness as indicators of development...
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