A New PHP Discoverer for Modisco

Abstract

MoDisco is an Eclipse Generative Modeling Technologies project (GMT Project) intended to make easier the design and building of model-based solutions that are dedicated to legacy systems Model-Driven Reverse Engineering (MDRE). It offers an open source, generic and extensible MDRE framework. Indeed, MDRE applies of Model-driven Engineering (MDE) principles to enhance traditional Reverse Engineering processes, and thus facilitate their understanding and manipulation. In the same context, the Architecture-Driven Modernization (ADM) is an OMG (Object Management Group) standard, which addresses the integration of MDA (Model-driven Architecture) and Reverse Engineering in the aim of understanding and evolving existing software assets. Thus, Modisco succeeded to stand out as the implementation reference in the MDRE and ADM field. Currently, Modisco handles only some technologies, such as Java and XML. Unfortunately, no adapted way to handle PHP (Hypertext Preprocessor) web-based projects by Modisco is available so far. This paper proposes a new model discovery tool intended for PHP language. This latter constitutes an extension for the Modisco framework that allows managing the applications assets written in PHP language. Thus, this work aims at enhancing the Modisco platform capabilities in managing more software development technologies.

Authors and Affiliations

Abdelali Elmounadi, Nawfal El Moukhi, Naoual Berbiche, Nacer Sefiani

Keywords

Related Articles

Performance Comparison of Collaborative-Filtering Approach with Implicit and Explicit Data

Challenge in developing a collaborative filtering (CF)-based recommendation system is the problem of cold-starting of items that causes the data to sparse and reduces the accuracy of the recommendations. Therefore, to pr...

An Extended Performance Comparison of Colour to Grey and Back using the Haar, Walsh, and Kekre Wavelet Transforms 

The storage of colour information in a greyscale image is not a new idea. Various techniques have been proposed using different colour spaces including the standard RGB colour space, the YUV colour space, and the YCbCr c...

An Efficient Design of RPL Objective Function for Routing in Internet of Things using Fuzzy Logic

The nature of the Low power and lossy networks (LLNs) requires having efficient protocols capable of handling the resource constraints. LLNs consist of networks that connect different type of devices which has constraint...

SYNTHETIC TEMPLATE: EFFECTIVE TOOL FOR TARGET CLASSIFICATION AND MACHINE VISION

A process for replacing a voluminous image dictionary, which characterizes a certain target of interest in a constrained zone of effectiveness representing controlled states including scale and view angle, with a synthet...

A Simulation Model for Nakagmi-m Fading Channel with m>1

In this paper, we propose a model to simulate a wireless fading channel based on Nakagami-m distribution with m>1. The Nakagami-m fading channel is the most generalized distribution as it can generate one-sided Gaussi...

Download PDF file
  • EP ID EP448714
  • DOI 10.14569/IJACSA.2019.0100122
  • Views 93
  • Downloads 0

How To Cite

Abdelali Elmounadi, Nawfal El Moukhi, Naoual Berbiche, Nacer Sefiani (2019). A New PHP Discoverer for Modisco. International Journal of Advanced Computer Science & Applications, 10(1), 169-174. https://europub.co.uk/articles/-A-448714