ADM-Based Hybrid Model Transformation for Obtaining UML Models from PHP Code

Clicks: 226
ID: 39745
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #1 of 2 articles by views in international journal of recent contributions from engineering, science & it

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
In this paper, we present a hybrid-based model transformation, according to the Architecture Driven Modernization (ADM) approach, intended for getting UML (Unified Modeling Language) models from the PHP (Hypertext Preprocessor) code. This latter has been done by offering a tool support for automated generation of UML platform independent models from PHP ASTM (Abstract Syntax Tree Metamodel) representations, which are specific platform models. The model transformation rules are expressed in ATL (Atlas Transformation Language), which is a widely used model transformation language based on the hybrid approach. This work aims to fill the gap between the web-based applications maintenance, especially PHP-based implementations, and the model transformation processes in the ADM context.
Reference Key
elmounadi2019admbasedinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Elmounadi, Abdelali;Berbiche, Naoual;Sefiani, Nacer;Moukhi, Nawfal El;
Journal international journal of recent contributions from engineering, science & it
Year 2019
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.