DSM 2015 - Proceedings of the Workshop on Domain-Specific Modeling

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Engineering

Mathematics
- Modeling and Simulation

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

Domain-specific languages provide a viable and time-tested solution for continuing to raise the level of abstraction, and thus productivity, beyond coding, making systems development faster and easier. When accompanied with suitable automated modeling tools and generators it delivers to the promises of continuous delivery and devops. In Domain-Specific Modeling (DSM) the models are constructed using concepts that represent things in the application domain, not concepts of a given programming language. The modeling language follows the domain abstractions and semantics, allowing developers to perceive themselves as working directly with domain concepts. Together with frameworks and platforms, DSM can automate a large portion of software production. This automation is possible because of domain-specificity: both the modeling language and code generators fit to the requirements of a narrowly defined domain, often inside one organization only.

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SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2016	0.151
2017	0.106
2018	0.164

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2016	0
2017	0
2018	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2016	0.909
Cites / Doc. (4 years)	2017	0.455
Cites / Doc. (4 years)	2018	0.818
Cites / Doc. (3 years)	2016	0.909
Cites / Doc. (3 years)	2017	0.455
Cites / Doc. (3 years)	2018	0.818
Cites / Doc. (2 years)	2016	0.909
Cites / Doc. (2 years)	2017	0.455
Cites / Doc. (2 years)	2018	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2016	0
Self Cites	2017	0
Self Cites	2018	0
Total Cites	2016	10
Total Cites	2017	5
Total Cites	2018	9

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2016	0.909
External Cites per document	2017	0.455
External Cites per document	2018	0.818
Cites per document	2016	0.909
Cites per document	2017	0.455
Cites per document	2018	0.818

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2016	0
2017	0
2018	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2016	1
Non-citable documents	2017	1
Non-citable documents	2018	1
Citable documents	2016	10
Citable documents	2017	10
Citable documents	2018	10

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2016	7
Uncited documents	2017	8
Uncited documents	2018	7
Cited documents	2016	4
Cited documents	2017	3
Cited documents	2018	4

% Female Authors

Evolution of the percentage of female authors.

Year	Female Percent
2016	0.00
2017	0.00
2018	0.00

Documents cited by public policy (Overton)

Evolution of the number of documents cited by public policy documents according to Overton database.

Documents	Year	Value
Overton	2016	0
Overton	2017	0
Overton	2018	0

Documents related to SDGs (UN)

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

Documents	Year	Value
SDG	2018	0

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