Supporting fine-grained generative model-driven evolution.
Saved in:
| Title: | Supporting fine-grained generative model-driven evolution. |
|---|---|
| Authors: | Meijler, Theo Dirk1 theo.dirk.meijler@sap.com, Nytun, Jan Pettersen2, Prinz, Andreas2, Wortmann, Hans3 |
| Source: | Software & Systems Modeling. Jun2010, Vol. 9 Issue 3, p403-424. 22p. 1 Color Photograph, 15 Diagrams, 1 Chart. |
| Subjects: | Model-driven software architecture, Superimposed coding, Data compression, Electronic data processing, Computer software development |
| Abstract: | In the standard generative Model-driven Architecture (MDA), adapting the models of an existing system requires re-generation and restarting of that system. This is due to a strong separation between the modeling environment and the runtime environment. Certain current approaches remove this separation, allowing a system to be changed smoothly when the model changes. These approaches are, however, based on interpretation of modeling information rather than on generation, as in MDA. This paper describes an architecture that supports fine-grained evolution combined with generative model-driven development. Fine-grained changes are applied in a generative model-driven way to a system that has itself been developed in this way. To achieve this, model changes must be propagated correctly toward impacted elements. The impact of a model change flows along three dimensions: implementation, data (instances), and modeled dependencies. These three dimensions are explicitly represented in an integrated modeling-runtime environment to enable traceability. This implies a fundamental rethinking of MDA. [ABSTRACT FROM AUTHOR] |
| Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 51220876 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Supporting fine-grained generative model-driven evolution. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Meijler%2C+Theo+Dirk%22">Meijler, Theo Dirk</searchLink><relatesTo>1</relatesTo><i> theo.dirk.meijler@sap.com</i><br /><searchLink fieldCode="AR" term="%22Nytun%2C+Jan+Pettersen%22">Nytun, Jan Pettersen</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Prinz%2C+Andreas%22">Prinz, Andreas</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wortmann%2C+Hans%22">Wortmann, Hans</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Software+%26+Systems+Modeling%22">Software & Systems Modeling</searchLink>. Jun2010, Vol. 9 Issue 3, p403-424. 22p. 1 Color Photograph, 15 Diagrams, 1 Chart. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Model-driven+software+architecture%22">Model-driven software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Superimposed+coding%22">Superimposed coding</searchLink><br /><searchLink fieldCode="DE" term="%22Data+compression%22">Data compression</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the standard generative Model-driven Architecture (MDA), adapting the models of an existing system requires re-generation and restarting of that system. This is due to a strong separation between the modeling environment and the runtime environment. Certain current approaches remove this separation, allowing a system to be changed smoothly when the model changes. These approaches are, however, based on interpretation of modeling information rather than on generation, as in MDA. This paper describes an architecture that supports fine-grained evolution combined with generative model-driven development. Fine-grained changes are applied in a generative model-driven way to a system that has itself been developed in this way. To achieve this, model changes must be propagated correctly toward impacted elements. The impact of a model change flows along three dimensions: implementation, data (instances), and modeled dependencies. These three dimensions are explicitly represented in an integrated modeling-runtime environment to enable traceability. This implies a fundamental rethinking of MDA. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=51220876 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10270-009-0144-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 403 Subjects: – SubjectFull: Model-driven software architecture Type: general – SubjectFull: Superimposed coding Type: general – SubjectFull: Data compression Type: general – SubjectFull: Electronic data processing Type: general – SubjectFull: Computer software development Type: general Titles: – TitleFull: Supporting fine-grained generative model-driven evolution. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Meijler, Theo Dirk – PersonEntity: Name: NameFull: Nytun, Jan Pettersen – PersonEntity: Name: NameFull: Prinz, Andreas – PersonEntity: Name: NameFull: Wortmann, Hans IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 16191366 Numbering: – Type: volume Value: 9 – Type: issue Value: 3 Titles: – TitleFull: Software & Systems Modeling Type: main |
| ResultId | 1 |
