Please use this identifier to cite or link to this item: http://dspace.azjhpc.org/xmlui/handle/123456789/58
Title: IMPLEMENTATION OF NOVEL APPROACHES IN BIDIRECTIONAL MODEL TRANSFORMATION: A SYSTEMATIC LITERATURE REVIEW
Authors: Ahmad, Hafiz Gulfam
Tahir, Iqra
Abbas, Naveed Naeem
Keywords: Handcrafted Features;Feature Ensembles Pedestrian Gender Recognition;Visual Surveillance
Issue Date: Jun-2021
Publisher: Azerbaijan Journal of High Performance Computing
Abstract: In the past few years, software development has seen rapid growth, and developers have adopted different methods to provide efficient procedures in software development, thus reducing the overall bug counts and time delay. Bidirectional model transformation is one such technique that encompasses the development of the object code in both directions enabling an abstract view of the software to the developer; over the year’s researchers, have been able to produce many approaches in bidirectional model transformations (bx), but the cost and best fir for effective model transformation, in particular, a quantities survey will be designed which will discuss the best possible apron in the bx. The methodology for this survey shall be made through SLR to identify around 20 different approaches proposed for bidirectional model transformation; these studies range from the year 2010 till date and are thus, rendered latest in the respective fields of our survey. The gathered results have been calculated on the specific set of parameters that are cost and time of usage time are the main aspects of these approaches, and that is the predicament that has made us produce a systematic literature review (SLR) on this very topic. Thus, this paper investigates different approaches based on their implementation cost and time delay and discusses their limitations, and the approach is implemented. Those approaches have been selected, which culminate in both of these respective parameters. The main objective of this SLR is to provide an insight into the different approaches and establish a well-balanced approach that can be used in bidirectional model transformation in software development.
URI: http://localhost:8080/xmlui/handle/123456789/58
ISSN: 2616-6127
2617-4383
DOI: https://doi.org/10.32010/26166127.2021.4.1.91.112
Journal Title: Azerbaijan Journal of High Performance Computing
Volume: 4
Issue: 1
First page number: 91
Last page number: 112
Number of pages: 22
Appears in Collections:Azerbaijan Journal of High Performance Computing

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