Monday 21 September 2009

Wseas Transactions

New Subscription to Wseas Transactions

The following information was submitted:

Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 29-715
Full Name: István Madari
Position: Student
Age: ON
Sex: Male
Address: H-1111 Budapest, Goldmann Gyorgy ter 3
Country: HUNGARY
Tel:
Tel prefix:
Fax:
E-mail address: istvan.madari@aut.bme.hu
Other E-mails:
Title of the Paper: Traceability-based Incremental Model Synchronization
Authors as they appear in the Paper: Istvan Madari, Laszlo Angyal, Laszlo Lengyel
Email addresses of all the authors: istvan.madari@aut.bme.hu,angyal@aut.bme.hu,lengyel@aut.bme.hu
Number of paper pages: 10
Abstract: Model transformation is a crucial aspect of Model-Driven Software Development. With the help of model transformation, we can generate source code or other artifacts from software models. However, a recurring problem in software development is the fact that source and target models coexist and they evolve independently. In general, a modeled system is composed of several models that are often related to one another. Consequently, the related models will not be consistent anymore if one of them is altered in the development process. For that reason, a model synchronization method is necessiated to resolve inconsistency between the modified models. Performing synchronization manually can be an error prone task due to the number and complexity of model elements. In model-driven technologies, where processing is carried out as a series of model transformations, applying model transformations can also be a reasonable option for the reconciliation. This paper presents an !
approach that uses trace models and model transformations to facilitate incremental model synchronization.
Keywords: Model transformation; Model synchronization; Traceability; Trace model; Incremental synchronization
EXTENSION of the file: .pdf
Special (Invited) Session: Incremental Model Synchronization Based on a Trace Model
Organizer of the Session: 618-518
How Did you learn about congress:
IP ADDRESS: 88.209.197.204