1,721,115 research outputs found
Un modello di supporto alle decisioni d’impresa basato sull'approccio sistemico vitale (asv)
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ENABLING LEGACY SYSTEM ACCESSIBILITY BY WEB HETEROGENEOUS CLIENT
No full textIn the Internet era, a challenging issue consists of defining viable solutions for integrating existing enterprise systems and making them accessible from heterogeneous client devices by exploiting the common infrastructure offered by the Web. This paper presents an integration approach that exploits black-box techniques for capturing the dynamic and static models of a legacy system user interface, and reproducing them on client devices with the support of a software wrapper. The wrapper is designed to satisfy service stability, data integration, and application integration requirements, and exploits State Chart Diagrams and open standard technologies, such as XML and XSL. In the paper, a methodology for designing the wrapper is proposed, and a toolkit that supports the application of the methodology is presented. An example of using the methodology for wrapping an existing system and exporting it to a Web browser and a WAP mobile phone is, finally, discussed
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
Evaluating Performances of Pair Designing in Industry
No full textPair programming has attracted an increasing interest from practitioners and researchers: there is initial empirical evidence that it has positive effects on quality and overall delivery time, as demonstrated by several controlled experiments. The practice does not only regard coding, since it can be applied to any other phase of the software process: analysis, design, and testing. Because of the asymmetry between design and coding, applying pair programming to the design phase might not produce the same benefits as those it produces in the development phase. In this paper, we report the findings of a controlled experiment on pair programming, applied to the design phase and performed in a software company. The results of the experiment suggest that pair programming slows down the task, yet improves quality. Furthermore we compare our results with those of a previous exploratory experiment involving students, and we demonstrate how the outcomes exhibit very similar trends
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