Not Ready for Prime Time

2012 ◽  
pp. 77-90
Author(s):  
Jostein Jensen ◽  
Martin Gilje Jaatun
Keyword(s):  
Software Development ◽  
Empirical Research ◽  
State Of The Art ◽  
Empirical Studies ◽  
Empirical Work ◽  
The State ◽  
Prime Time ◽  
Special Focus ◽  
Model Driven Development ◽  
Model Driven

Model Driven Development (MDD) is by many considered a promising approach for software development. This article reports the results of a systematic survey to identify the state-of-the-art within the topic of security in model driven development, with a special focus on finding empirical studies. The authors provide an introduction to the major secure MDD initiatives, but the survey shows that there is a lack of empirical work on the topic. The authors conclude that better standardization initiatives and more empirical research in the field is necessary before it can be considered mature.

Not Ready for Prime Time

2011 ◽  
Vol 2 (4) ◽  
pp. 49-61 ◽  
Author(s):  
Jostein Jensen ◽  
Martin Gilje Jaatun
Keyword(s):  
Software Development ◽  
Empirical Research ◽  
State Of The Art ◽  
Empirical Studies ◽  
Empirical Work ◽  
The State ◽  
Prime Time ◽  
Special Focus ◽  
Model Driven Development ◽  
Model Driven

Model Driven Development (MDD) is by many considered a promising approach for software development. This article reports the results of a systematic survey to identify the state-of-the-art within the topic of security in model driven development, with a special focus on finding empirical studies. The authors provide an introduction to the major secure MDD initiatives, but the survey shows that there is a lack of empirical work on the topic. The authors conclude that better standardization initiatives and more empirical research in the field is necessary before it can be considered mature.

scholarly journals Languages for model-driven development of user interfaces: Review of the state of the art

2013 ◽  
Vol 23 (3) ◽  
pp. 327-341 ◽  
Author(s):  
Mladjan Jovanovic ◽  
Dusan Starcevic ◽  
Zoran Jovanovic
Keyword(s):  
User Interface ◽  
Software Engineering ◽  
User Interfaces ◽  
State Of The Art ◽  
The State ◽  
Level Of Detail ◽  
Model Transformations ◽  
Model Driven Engineering ◽  
Model Driven Development ◽  
Model Driven

In model-driven user interface development, several models are used to describe different aspects of user interface when level of detail varies. The relations between the models are established through model transformations. The Model Driven Engineering (MDE) approach has been proposed in software engineering domain in order to provide techniques and tools to deal with models in the automated way. In this paper, we will review existing user interface languages that gain wider acceptance, and discuss their applicability for model-driven user interface development.

scholarly journals Diseño de Servicios Web Semánticos utilizando el desarrollo de software dirigido por modelos [Semantic Web Services design using model-driven software development]

2014 ◽  
Author(s):  
Wilman Vega ◽  
Henry Umaña
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Software Development ◽  
Semantic Web Services ◽  
Model Driven Development ◽  
Model Driven ◽  
Dynamic Composition ◽  
Palabras Clave ◽  
Wide Range ◽  
Model Driven Software Development

Resumen Los Servicios Web Semánticos ofrecen beneficios, que coadyuvan a la evolución de la Web, como el descubrimiento, invocación y composición dinámica y automática de recursos, habilitan efectivamente la interoperabilidad entre sistemas, permitiendo una amplia gama de nuevos servicios y oportunidades de negocios en la Internet. La estructura necesaria para proveer estos beneficios, hace que su desarrollo sea un proceso complejo, requiriendo establecer formas más fáciles y dinámicas que garanticen reutilización, calidad y rapidez. El desarrollo dirigido por modelos realiza una contribución eficiente en estos aspectos, dado que trabaja de manera intrínseca conceptos como separación de conceptos, reusabilidad e interoperabilidad entre componentes. En este artículo se presenta un enfoque para desarrollo de software dirigido por modelos, orientado al desarrollo de los servicios web semánticos, donde inicialmente se plantean las fases correspondientes al análisis, diseño y desarrollo dentro de la metodología propuesta, aplicando la metodología sobre un pequeño caso de estudio y obtener como resultado la estructura de un Servicio web semántico. Palabras Clave: Servicios web semánticos, Desarrollo dirigido por modelos, ontologías web.   Abstract Semantic Web Services offers benefits that contribute to Web evolution. Benefits such as automatic discovery and invocation, and dynamic composition, effectively enables systems interoperability, allowing a wide range of services and Internet businesses. The necessary structure to provide those benefits by Semantic Web Services makes its development a complex process. It necessary to establish more easy and dynamic ways to develop this kind of software, in order to assure reuse, quality and speediness in the development process. The model-driven software development makes an efficient contribution in those aspect, because it works intrinsically concepts related such separation of concerns, reusability and components interoperability. In this paper we present an approach to model-driven development software applied to Semantic Web Services. First, we establish the phases corresponding to the analysis, design and development in the proposal methodology, by applying it to a case of study we obtain the structure of a Semantic Web Services. Keywords: Semantic Web Services, Model-Driven Development, Web Ontologies.

scholarly journals Grand challenges in model-driven engineering: an analysis of the state of the research

2020 ◽  
Vol 19 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Antonio Bucchiarone ◽  
Jordi Cabot ◽  
Richard F. Paige ◽  
Alfonso Pierantonio
Keyword(s):  
Open Source ◽  
State Of The Art ◽  
The State ◽  
Model Driven Engineering ◽  
Grand Challenges ◽  
Model Driven ◽  
New Challenges ◽  
State Of Practice ◽  
State Of Research ◽  
Research Initiatives

AbstractIn 2017 and 2018, two events were held—in Marburg, Germany, and San Vigilio di Marebbe, Italy, respectively—focusing on an analysis of the state of research, state of practice, and state of the art in model-driven engineering (MDE). The events brought together experts from industry, academia, and the open-source community to assess what has changed in research in MDE over the last 10 years, what challenges remain, and what new challenges have arisen. This article reports on the results of those meetings, and presents a set of grand challenges that emerged from discussions and synthesis. These challenges could lead to research initiatives for the community going forward.

scholarly journals An Extended Commentary on Post-Publication Peer Review In Organizational Neuroscience

2018 ◽  
Author(s):  
Guy A Prochilo ◽  
Winnifred R Louis ◽  
Stefan Bode ◽  
Hannes Zacher ◽  
Pascal Molenberghs
Keyword(s):  
Peer Review ◽  
State Of The Art ◽  
Empirical Work ◽  
The State ◽  
Statistical Testing ◽  
The Past ◽  
Explicit Reference ◽  
Major Review ◽  
Specific Concern ◽  
Made In

Note: this manuscript has been peer reviewed and is published in Meta-Psychology. Please cite as: Prochilo, G. A., Louis, W. R., Bode, S., Zacher, H., & Molenberghs, P. (2019). An Extended Commentary on Post-publication Peer Review in Organizational Neuroscience. Meta-Psychology, 3. https://doi.org/10.15626/MP.2018.935 | While considerable progress has been made in organizational neuroscience over the past decade, we argue that critical evaluations of published empirical works are not being conducted carefully and consistently. In this extended commentary we take as an example Waldman and colleagues (2017): a major review work that evaluates the state-of-the-art of organizational neuroscience. In what should be an evaluation of the field’s empirical work, the authors uncritically summarize a series of studies that: (1) provide insufficient transparency to be clearly understood, evaluated, or replicated, and/or (2) which misuse inferential tests that lead to misleading conclusions, among other concerns. These concerns have been ignored across multiple major reviews and citing articles. We therefore provide a post-publication review (in two parts) of one-third of all studies evaluated in Waldman and colleague’s major review work. In Part I, we systematically evaluate the field’s two seminal works with respect to their methods, analytic strategy, results, and interpretation of findings. And in Part II, we provide focused reviews of secondary works that each center on a specific concern we suggest should be a point of discussion as the field moves forward. In doing so, we identify a series of practices we recommend will improve the state of the literature. This includes: (1) evaluating the transparency and completeness of an empirical article before accepting its claims, (2) becoming familiar with common misuses or misconceptions of statistical testing, and (3) interpreting results with an explicit reference to effect size magnitude, precision, and accuracy, among other recommendations. We suggest that adopting these practices will motivate the development of a more replicable, reliable, and trustworthy field of organizational neuroscience moving forward.

scholarly journals A state-of-the-art review on police accountability

2018 ◽  
Vol 20 (3) ◽  
pp. 225-239 ◽  
Author(s):  
Yinthe Feys ◽  
Antoinette Verhage ◽  
Dominique Boels
Keyword(s):  
Literature Review ◽  
Empirical Research ◽  
Systematic Literature Review ◽  
Scoping Review ◽  
State Of The Art ◽  
Empirical Studies ◽  
Empirical Literature ◽  
Thematic Synthesis ◽  
Police Accountability ◽  
Police Integrity

The method and results of a scoping review, based on the principles of a systematic literature review, on police accountability are presented with the aim of providing an overview of the characteristics of empirical research on the topic and the main themes covered in this research tradition. To our knowledge, no systematically conducted review has been undertaken although one could help to identify gaps in the (empirical) literature and give insights into the themes studied in this regard. Three main themes were discovered during the review; aside from police accountability as such, many studies related to police integrity or, to a lesser extent, historical facts concerning police accountability or integrity. Two of the most striking findings were the low number of empirical studies included in our thematic synthesis and the limited amount of methodological information reported in these publications. As such, the authors recommend more empirical research regarding police accountability and, more generally, sufficient methodological reporting when writing a publication.

scholarly journals Complementary Methods to Mitigate the Misinterpretation of Results Due to Collinearity in International Business Research

Internext ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. 105-127
Author(s):  
Diogenes de Souza Bido ◽  
Antonio Carlos de Oliveira Barroso ◽  
Eric David Cohen
Keyword(s):  
Empirical Research ◽  
International Business ◽  
Latent Variables ◽  
Empirical Studies ◽  
Empirical Work ◽  
Academic Community ◽  
Business Research ◽  
Complementary Methods ◽  
International Business Research ◽  
Social Contributions

Objectives of the study: to demonstrate the methodological gaps in empirical work that use structural models in the area of International Business, and prescribe complementary methods to mitigate the problem of collinearity Method: a simulation was developed to evidence the effects of collinearity with respect to the importance and significance of predictors, and actions aimed at controlling the undesired effects of collinearity was developed Main results: the proposition of complementary methods that include grouping the latent variables that present multicollinearity into a second-order model, and the use of the technique that shows the relative importance of predictors Theoretical and methodological contributions: the contribution is based on the complementary methods offered for the academic community to conduct empirical research that are laid out by the findings of this research paper Relevance and originality: from the gaps pointed out in the recent scientific production of the field of knowledge of international business, complementary methods are presented to mitigate the problem of collinearity, which may render the results of empirical studies invalid Social contributions and management: among the main managerial and social implications achieved through our findings of, we stimulate the development of robust, relevant and reliable empirical research

scholarly journals Teaching pragmatic model-driven software development

2015 ◽  
Vol 12 (2) ◽  
pp. 683-705 ◽  
Author(s):  
Jaroslav Porubän ◽  
Michaela Bacíková ◽  
Sergej Chodarev ◽  
Milan Nosál’
Keyword(s):  
Software Development ◽  
Development Process ◽  
Model Driven Development ◽  
Model Driven ◽  
Visualisation Tool ◽  
Big Picture ◽  
Model Driven Software Development ◽  
Positive Results

Model-driven software development is surrounded by numerous myths and misunderstandings that hamper its adoption. For long, our students were victims of these myths and considered MDSD impractical and only applied in academy. In this paper we discuss these myths and present our experience with devising an MDSD course that challenges them and motivates students to understand MDSD principles. The main contribution of this work is a set of MDSD teaching guidelines that can make the course pragmatic in the eyes of students - programmers. These guidelines introduce MDSD from the viewpoint of a programmer as a pragmatic tool for solving concrete problems in the development process. In our MDSD course we implemented the presented guidelines. The course shows several techniques and principles of model-driven development in multiple incremental iterations instead of concentrating on a single tool. At the same time we unite these techniques by using a dynamic visualisation tool that shows to the students the whole infrastructure in the big picture. The course is implemented as an iterative incremental MDSD case study. The paper concludes with a survey performed with our students that indicates positive results of the approach.

scholarly journals Combination of Fetal Fraction Estimators Based on Fragment Lengths and Fragment Counts in Non-Invasive Prenatal Testing

2019 ◽  
Vol 20 (16) ◽  
pp. 3959 ◽  
Author(s):  
Juraj Gazdarica ◽  
Rastislav Hekel ◽  
Jaroslav Budis ◽  
Marcel Kucharik ◽  
Frantisek Duris ◽  
...  
Keyword(s):  
State Of The Art ◽  
Prenatal Testing ◽  
The State ◽  
Accurate Estimation ◽  
Special Focus ◽  
Dna Fragments ◽  
Sources Of Information ◽  
Non Invasive ◽  
Genomic Locations ◽  
Fetal Fraction

The reliability of non-invasive prenatal testing is highly dependent on accurate estimation of fetal fraction. Several methods have been proposed up to date, utilizing different attributes of analyzed genomic material, for example length and genomic location of sequenced DNA fragments. These two sources of information are relatively unrelated, but so far, there have been no published attempts to combine them to get an improved predictor. We collected 2454 single euploid male fetus samples from women undergoing NIPT testing. Fetal fractions were calculated using several proposed predictors and the state-of-the-art SeqFF method. Predictions were compared with the reference Y-based method. We demonstrate that prediction based on length of sequenced DNA fragments may achieve nearly the same precision as the state-of-the-art methods based on their genomic locations. We also show that combination of several sample attributes leads to a predictor that has superior prediction accuracy over any single approach. Finally, appropriate weighting of samples in the training process may achieve higher accuracy for samples with low fetal fraction and so allow more reliability for subsequent testing for genomic aberrations. We propose several improvements in fetal fraction estimation with a special focus on the samples most prone to wrong conclusion.

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