Supporting Incremental Change in Large ...
Document type :
Communication dans un congrès avec actes
Title :
Supporting Incremental Change in Large System Models
Author(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]
Conference title :
IWST
City :
Brest
Country :
France
Start date of the conference :
2009-08-31
Publication date :
2009-08-31
HAL domain(s) :
Informatique [cs]/Langage de programmation [cs.PL]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
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