1,720,974 research outputs found
Transforming Domain Specific Modeling Languages into Feature Models
This paper proposes a methodology for software factory design guided by DSMLs (Domain Specific Modeling Languages) in the context of the SPL (Software Product Line) area. In order to guide the engineer in the design of the generative process, we propose a transformation allowing to transform the annotated metamodel of a DSML into an Feature Model that can be used later as a decision tree to help the engineer in the choice of the best implementation tactics for the variants. The article presents and illustrates the transformation based on an industrial example.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Universal Safety Format: Automated Safety Software Generation
The development of safety-critical software requires a significant additional effort compared to standard software. Safety mechanisms, e.g., for mitigating hardware errors, have to be designed and integrated into the functional code. This results not only in substantial implementation overhead, but also reduces the overall maintainability of the software. In this paper, we present the Universal Safety Format (USF), which enables a model-driven approach that complies with the separation of concerns principle. Software safety mechanisms are specified as patterns via a domain-agnostic transformation language, separated from the functional software. Various domain-specific tools apply these safety patterns to domain-specific artifacts, such as code or software architecture models. This enables the reuse of safety patterns in multiple designs as well as in a single design to artifacts from different domains
Variations on the Author
“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
We 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
UgameFeature: Automatic Code Generation for Unity Game Projects
Computer games are complex software systems, which means that their development requires some level of programming skills. However, their design also involves the creation of game objects (characters, scenarios, etc.), animations and story lines, which are designed by game domain experts, who in general have minimal (or no) programming skills. Game engines have been developed to facilitate game development by reducing programming efforts and enhancing productivity, but we observed that most of these engines still require programming skills in order to be used. In this paper, we discuss how Model-Driven Engineering technologies, particularly metamodelling and model transformations, can be used to facilitate game development. We define a Domain Specific Language called UGameFeature to be used by game designers to define games that can be automatically transformed into scripts that can be executed by the Unity game engine. In order to facilitate the code generation step, we defined an intermediate metamodel, so that structural differences between the UGameFeature metamodel and the Unity engine scripts can be accommodated by an intermediate model-to-model transformation. We claim that with this approach we could define a streamlined process to go from game design to game implementation, in this way surpassing the benefits already offered by game engines. We also discuss some practical obstacles of applying MDE techniques and give recommendations to practitioners who want to apply them in their projects
Dispelling the Myths Behind First-author Citation Counts
We 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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