Model-Driven Engineering for Software Architectures
A special issue of Modelling (ISSN 2673-3951).
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 12174
Special Issue Editors
Interests: MDE; model-based development; MDA; code generation; model transformation; software quality evaluation
Interests: distributed systems; model-driven engineering; software architectures; microservices; service-oriented computing
Special Issue Information
Dear Colleagues,
Responsiveness to ever-evolving requirements, market needs, customer feedback, and technology is only one of the challenges posed during the modelling, development, deployment, and management of modern software systems and their evolution. Such challenges require ad hoc methodologies, technologies, and tools to mitigate complexity, deal with system erosion, and survive the technological evolution. Architectural models are usually defined as a diagram in which the primary intent is to illustrate the structure and design of a software system and its related ecosystem. Usually, these diagrams are used as mere documentation artifacts and cannot be processed or understood by machines.
Model-driven engineering (MDE) is a methodology for developing complex software systems, using the principle of abstraction and separation of concerns for tackling the complexity of modern software systems. Model-driven approaches shift development focus from programming language codes to models expressed in proper domain-specific modelling languages. Thus, models can be understood, automatically manipulated by automated processes, or transformed into other artefacts. MDE requires a considerable amount of academic and industrial research on the analysis, modelling, design, and development of novel domain-specific languages, architectures, methodologies, solutions, and technologies. Novelties in this field include, but are not limited to, the adoption of machine learning and artificial intelligence.
This Special Issue aims to gather both academic and industrial communities that intend to submit their contributions on the abovementioned topics, thus advancing model-driven engineering solutions for software architectures.
Dr. Ludovico IovinoDr. Amleto Di Salle
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Modelling is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- domain-specific language
- model transformation
- modelling (co-)evolution
- model repositories
- modelling tools
- machine learning and artificial intelligence
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.