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Please use this identifier to cite or link to this item: http://hdl.handle.net/2108/156

Title: Building a body of knowledge from families of software empirical studies: from statistical analysis to cluster-impact approach for manipulating experimental data using fuzzy sets
Authors: Cantone, Giovanni
Abdelnabi, Zeiad A.
Issue Date: 1-Dec-2005
Abstract: The explosive growth of the software industry in recent years has focused the attention on the problems long associated with software development. Empirical evaluations in software engineering are important for building a body of knowledge, which is missing for several software engineering areas nowadays. Transferring such body of knowledge to industry is one of the main objectives in research. In order to empirically achieve such an objective, it is our conviction that empirical studies should be considered from two viewpoints: one comes from the effect, the outcomes from as explicit as specific input variables or factors in traditional experimentation, where we will be able to provide studies with an initial benchmark of knowledge of software (“Effect Viewpoint”), while the other comes from the integral cause, where we will be able to understand empirical software studies as an integrated body of knowledge, based on the analysis of all possible input variables - including factors...
Description: 17.ciclo
URI: http://hdl.handle.net/2108/156
Appears in Collections:Tesi di dottorato in ingegneria

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