TwoStep Cluster: Análise Comparativa do Algoritmo e Proposta de Melhoramento da Medida de Verossimilhança

Supporting Cooperative Requirements Engineering with an Automated Tool

Rafael Leão BrazãoPedro A. BarbettaDalton F. Andrade

D.F. TogneriR. de A. FalboC. S. de Menezes

In this paper we made comparisons of the algorithm TwoStep Cluster (TSC) with other clustering algorithms for large databases. The comparisons were made using simulated data, whose variations of the parameters were made in according to the Design of Experiments methodology. The results showed that TSC had better accuracy when the clusters had different variances; however it was shown to be slower than the traditional K-means algorithm. In this work we also propose an improvement in the measure of the log-likelihood considered in the algorithm. It allows incorporating information about the correlations between the variables. Requirements Engineering – one of the macro -activities of Sofware Engineering – is a systematic process of capturing, modeling and documenting requirements through an iteractive and cooperative approach[13]. It’s an activity which require s team work. Groups of people formulate requirements, design and implement a system and execute quality assurance activities during the software process[28]. The cooperative work becomes necessary since solutions require different knowledge and professionals become more specialized[3]. Viewing these aspects, it’s worthwhile to use computational resources to support the cooperative Requirements Engineering activities. The area of Computer-Supported Cooperative Work (CSCW) is interested in how groups of people working on a cooperative basis can be assisted by computational support[28]. This work investigates how solutions from the CSCW area can support Requirements Engineering activities and introduces CRETA – a Cooperative Requirements Engineering support tool, which intends to integrate groupware applications into applications supporting Requirements Engineering. This tool was developed for the Web, using the object-orientation paradigm

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