1,721,075 research outputs found
Bridging state-based differencing and co-evolution
No full textIn Model-Driven Engineering, metamodel evolution comes with the urge of adapting those artifacts which are compromised by the changes. The existing adaptation techniques focus only on specific categories of artifacts, e.g., models or transformations. Thus, the modeler needs to become familiar with many techniques, each for different kind of artifact. To address this issue we have proposed EMF Migrate, a language devoted to the co-evolution of metamodel-based artifacts. An adaptation program written with EMF Migrate is capable of adapting artifacts (regardless of their type) according to metamodel differences calculated by means of EMF Compare. This paper addresses the problem of the compositional mismatch between EMF Compare and EMF Migrate. In particular, the differences are translated into a number of intermediate notations before being processed by an EMF Migrate adaptation program. Copyright 2012 ACM
Enhancing Flexibility in User Interaction Modeling by Adding Design Uncertainty to IFML
Full text linkUser interaction (UI) design is an important task
in the development of software applications: in fact the success
of the application itself, as well as the business behind it, is
strongly related to the user experience. Unfortunately, designers
can obtain realistic feedback from users about their actual
expectations only at runtime, by analyzing the user behavior
over the final application.
A possible solution to this problem is to integrate the user
feedback in the design phase, for example through A/B split
testing, which allows to test the effectiveness of different variants
of the application interface. However, so far A/B testing has
been addressed only through manual coding and a-posteriori
refactoring based on the analysis of the results. Model-driven
development may enable the integration of such techniques with
runtime log analysis and design-time application specifications.
Unfortunately, creating new alternatives in the model usually
corresponds to a combinatorial explosion of the application
versions, making the testing hard to manage.
In this paper, we propose a model-driven approach that
enables to denote design alternatives in a compact way by
adopting a model for uncertainty, integrated with a model for
the user interaction design. Thus, the multiple possibilities can be
represented by a single user interaction model (i.e., IFML model)
from which a single software application will be generated,
including all the variations that need to be evaluated. Uncertainty
can then be solved by integrating the results of user behavior
analysis (for instance, over the application logs of a web site).
Thanks to this, our approach considerably reduces the costs of
the user interaction optimization
Summary of the Extreme Modeling Workshop (XM'12)
No full textThis volume includes 8 papers from the Extreme Modeling workshop (XM'2012), a satellite event of MoDELS 2012 held on October, 1st 2012, in Innsbruck, Austria. The workshop hosted also an invited talk delivered by Prof. Jeff Gray (University of Alabama, USA) about demonstration-based modeling. © 2012 Authors
MDEGroup/memoCNN: JSS - Convolutional neural networks for enhanced classification mechanisms of metamodels
No full textThis release consists of the JSS journal paper's supporting materials, "Convolutional neural networks for enhanced classification mechanisms of metamodels.
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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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