1,721,205 research outputs found
Cross-company vs. single-company web effort models using the Tukutuku database: An extended study
No full textIn 2004 [Kitchenham, B.A., Mendes, E., 2004a. Software productivity measurement using multiple size measures. IEEE Transactions on Software Engineering 30 (12), 1023-1035, Kitchenham, B.A., Mendes, E., 2004b. A comparison of cross-company and single-company effort estimation models for web applications. In: Proceedings Evaluation and Assessment in Software Engineering (EASE' 04), pp. 47-55] (S1) investigated, using data on 63 Web projects, to what extent a cross-company cost model could be successfully employed to estimate development effort for single-company Web projects. Their effort models were built using Forward Stepwise Regression (SWR) and they found that cross-company predictions were significantly worse than single-company predictions. This study S1 was extended by Mendes and Kitchenham [Mendes, E., Kitchenham, B.A., 2004. Further comparison of cross-company and within company effort estimation models for web applications. In: Proceedings International Software Metrics Symposium (METRICS'04), Chicago, Illinois, September 11-17th, 2004. IEEE Computer Society, pp. 348-357] (S2), who used SWR and Case-based reasoning (CBR), and data on 67 Web projects from the Tukutuku database. They built two cross-company and one single-company models and found that both SWR cross-company models and CBR cross-company data provided predictions significantly worse than single-company predictions. Since 2004 another 83 projects were volunteered to the Tukutuku database, and recently used by Mendes et al. [Mendes, E., Di Martino, S., Ferrucci, F., Gravino, C., in press. Effort estimation: How valuable is it for a web company to use a cross-company data set, compared to using its own single-company data set? In: Proceedings of International World Wide Web Conference (WWW'07), Banff, Canada, 8-12 May] (S3), who partially replicated Mendes and Kitchenham's study (S2), using SWR and CBR. They corroborated some of S2's findings (SWR cross-company model and the CBR cross-company data provided predictions significantly worse than single-company predictions) however they replicated only part of S2. The objective of this paper (S4) is therefore to extend Mendes et al.'s work and fully replicate S2. We used the same dataset used in S3, and our results corroborated most of those obtained in S2. The main difference between S2 and our study was that one of our SWR cross-company models showed significantly similar predictions to the single-company model, which contradicts the findings from S2. © 2007 Elsevier Inc. All rights reserved
Il ruolo della donna nel volontariato sociale italiano
No full textIl volume presenta i risultati di una ricerca empirica condotta, con metodi qualitativi, su donne impegnate nelle attività di volontariato (è stata campionata una regione italiana per ogni ambito territoriale). Obiettivo della icerca era la ricostruzione di profili di donne attive caratterizzate dallo stile e dalle modalità partecipativ
SIGRI – an Integrated System for Detecting, Monitoring, Characterizing Forest Fires and Assessing Damage by LEO-GEO Data
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Dynamic generation of educational virtual exhibitions
No full textThe Virtual Reality is an effective way to convey educational contents, especially in the Cultural Heritage field. Nevertheless, its diffusion in e-learning is not as common as one would expect. The main reasons can be found in the complexity for the development of virtual environments and in the users' difficulties for a comfortable navigation of the scenes. To overcome these problems, we propose a web-based Authoring System that enables people without skills on 3D technologies, to define and generate their customized virtual exhibitions. Moreover, in the generated environments a specific navigational paradigm is adopted: it is conceived as a multimodal enhancement of guided tours, allowing us to improve the navigation of the scenes. The system can be profitably used as an LCMS by teachers, as well as a customized virtual exhibitions generator by visitors of cultural institutions. © 2003 IEEE
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
La valorizzazione del capitale sociale nelle istituzioni di alta formazione: il caso dei collegi universitari
No full textIl testo presernta i risultati di una ricerca condotta su un campione nazionale di studenti ospiti nei collegi universitari. Il fuoco della ricerca riguarda il ruolo dei collegi universitari nello sviluppo del capitale sociale dei loro ospiti. Viene inoltre indagato l'impatto del capitale nello sviluppo del capitale umano e della capacità progettuale degli ospiti
Contributo allo studio della personalità di soggetti istituzionalizzati con una diagnosi di schizofrenia
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