Supporting Incremental Change in Large ...
Type de document :
Communication dans un congrès avec actes
Titre :
Supporting Incremental Change in Large System Models
Auteur(s) :
Laval, Jannik [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Denier, Simon [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Ducasse, Stephane [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Kellens, Andy [Auteur]
Software Languages Lab [SLL]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Denier, Simon [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Ducasse, Stephane [Auteur]

Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Kellens, Andy [Auteur]
Software Languages Lab [SLL]
Titre de la manifestation scientifique :
IWST
Ville :
Brest
Pays :
France
Date de début de la manifestation scientifique :
2009-08-31
Date de publication :
2009-08-31
Discipline(s) HAL :
Informatique [cs]/Langage de programmation [cs.PL]
Résumé en anglais : [en]
When reengineering large systems, software developers would like to assess and compare the impact of multiple change scenarios without actually performing these changes. A change can be ef- fected by applying a tool to the ...
Lire la suite >When reengineering large systems, software developers would like to assess and compare the impact of multiple change scenarios without actually performing these changes. A change can be ef- fected by applying a tool to the source code, or by a manual refac- toring. In addition, tools run over a model are costly to redevelop. It raises an interesting challenge for tools implementors: how to support modification of large source code models to enable com- parison of multiple versions. One naive approach is to copy the entire model after each modification. However, such an approach is too expensive in memory and execution time. In this paper we ex- plore different implementations that source code metamodels sup- port multiple versions of a system. We propose a solution based on dynamic binding of entities between multiple versions, providing good access performance while minimizing memory consumption.Lire moins >
Lire la suite >When reengineering large systems, software developers would like to assess and compare the impact of multiple change scenarios without actually performing these changes. A change can be ef- fected by applying a tool to the source code, or by a manual refac- toring. In addition, tools run over a model are costly to redevelop. It raises an interesting challenge for tools implementors: how to support modification of large source code models to enable com- parison of multiple versions. One naive approach is to copy the entire model after each modification. However, such an approach is too expensive in memory and execution time. In this paper we ex- plore different implementations that source code metamodels sup- port multiple versions of a system. We propose a solution based on dynamic binding of entities between multiple versions, providing good access performance while minimizing memory consumption.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
Fichiers
- https://hal.inria.fr/inria-00498492/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/inria-00498492/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- Lava09b-IWST09-incrementalChange.pdf
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- Lava09b-IWST09-incrementalChange.pdf
- Accès libre
- Accéder au document