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AO4SQL: Towards an Aspect-Oriented Extension for SQL

Dinkelaker, Tom (2011)
AO4SQL: Towards an Aspect-Oriented Extension for SQL.
Proceedings of the 8th Workshop on Reflection, AOP and Meta-Data for Software Evolution (RAM-SE'11). Zurich, Switzerland
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The structured query language (SQL) is not only the de-facto standard for defining data base (DB) queries, it is also known as being one of the most widely used domain-specific languages (DSLs). However, similar to code written in other languages, programs with embedded SQL queries may suffer from scattered and tangled code. Unfortunately, there is no aspect-oriented extension available for the separation of crosscutting concerns in SQL queries. To address this problem, this paper presents AO4SQL---an aspect-oriented extension for SQL. With AO4SQL developers can modularize crosscutting concerns in SQL queries, such as logging, profiling, and runtime data base schema evolution.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2011
Autor(en): Dinkelaker, Tom
Art des Eintrags: Bibliographie
Titel: AO4SQL: Towards an Aspect-Oriented Extension for SQL
Sprache: Englisch
Berater: Dinkelaker, Tom dinkelaker@cs.tu-darmstadt.de
Publikationsjahr: 2011
Veranstaltungstitel: Proceedings of the 8th Workshop on Reflection, AOP and Meta-Data for Software Evolution (RAM-SE'11)
Veranstaltungsort: Zurich, Switzerland
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Kurzbeschreibung (Abstract):

The structured query language (SQL) is not only the de-facto standard for defining data base (DB) queries, it is also known as being one of the most widely used domain-specific languages (DSLs). However, similar to code written in other languages, programs with embedded SQL queries may suffer from scattered and tangled code. Unfortunately, there is no aspect-oriented extension available for the separation of crosscutting concerns in SQL queries. To address this problem, this paper presents AO4SQL---an aspect-oriented extension for SQL. With AO4SQL developers can modularize crosscutting concerns in SQL queries, such as logging, profiling, and runtime data base schema evolution.

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Softwaretechnik
Hinterlegungsdatum: 08 Aug 2011 15:04
Letzte Änderung: 05 Mär 2013 09:51
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