1,720,994 research outputs found
Filling the gap between design and performance/reliability models of component-based systems: A model-driven approach
No full textTo facilitate the use of non-functional analysis results in the selection and assembly of components for component-based systems, automatic prediction tools should be devised, to predict some overall quality attribute of the application without requiring extensive knowledge of analysis methodologies to the application designer. To achieve this goal, a key idea is to define a model transformation that takes as input some "design-oriented" model of the component assembly and produces as a result an "analysis-oriented" model that lends itself to the application of some analysis methodology. However, to actually devise such a transformation, we must face both the heterogeneous design level notations for component-based systems, and the variety of non-functional attributes and related analysis methodologies we could be interested in. To tackle these problems, we define a model-driven transformation framework, centered around a kernel language whose aim is to capture the relevant information for the analysis of non-functional attributes of component-based systems, with a focus on performance and reliability. Using this kernel language as a bridge between design-oriented and analysis-oriented notations we reduce the burden of defining a variety of direct transformations from the former to the latter to the less complex problem of defining transformations to/from the kernel language. The proposed kernel language is defined within the MOF (Meta-Object Facility) framework, to allow the exploitation of MOF-based model transformation facilities
Filling the Gap Between Design and Performance/Reliability Models of Component-Based Systems: A Model-Driven Approach
No full textTo facilitate the use of non-functional analysis results in the selection and assembly of components for component-based systems, automatic prediction tools should be devised, to predict some overall quality attribute of the application without requiring extensive knowledge of analysis methodologies to the application designer. To achieve this goal, a key idea is to define a model transformation that takes as input some “design-oriented” model of the component assembly and produces as a result an “analysis-oriented” model that lends itself to the application of some analysis methodology. However, to actually devise such a transformation, we must face both the heterogeneous design level notations for component-based systems, and the variety of non-functional attributes and related analysis methodologies we could be interested in. To tackle these problems, we define a model-driven transformation framework, centered around a kernel language whose aim is to capture the relevant information for the analysis of non-functional attributes of component-based systems, with a focus on performance and reliability. Using this kernel language as a bridge between design-oriented and analysis-oriented notations we reduce the burden of defining a variety of direct transformations from the former to the latter to the less complex problem of defining transformations to/from the kernel language. The proposed kernel language is defined within the MOF (Meta-Object Facility) framework, to allow the exploitation of MOF-based model transformation facilities
Network structure in a local innovation system in mature industries. An empirical case study
No full textThis paper aims to explore the local innovation system's network structure in mature industries and in an emerging economy, by taking empirical evidence from the transport and logistics innovation system in the Campania region (South of Italy). The social network analysis conducted on R&D alliances among a heterogeneous sample of organisations revealed that the Campania LIS in transport and logistics is characterised by a closed network, where brokering positions are mostly undertaken by academic institutions, which is in line with the studies arguing that a closure structure better sustains the conduct of innovation activities
Industry 4.0 adoption and firms’ environmental performance: Does this relationship change for different Industry 4.0 technologies?
No full textIndustry 4.0 and environmental sustainability, two of the hottest topics discussed by academic and business practitioners, are recognised to be strictly linked, since the agility, flexibility and efficiency promoted by Industry 4.0 technologies could represent a good way to decrease the impact of business activity on natural environment.
Literature discussing Industry 4.0 and sustainability in depth is very sparse and there is currently a substantial lack of empirical evidence on Industry 4.0 and sustainability linkage. The aim of this paper is to shed the light on this topic by questioning if there a relationship between Industry 4.0 (hereafter I4.0) adoption and firms’ environmental performance and if this relationship changes for different I4.0 technologies. Using Independent T-test analysis on a sample of 71 Italian firms, we find that companies that adopted Industry 4.0 reach higher environmental performance than firms that do not. In particular, this effect is even higher for companies that implement more operational technologies
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
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