Applying of Software Product Line Methodology for Web Site Design by Extracting Features Model Using Genetic Algorithm

Aisha Alsalem , Mabroukah Amarif (1)
(1) , Libya

Abstract

The software industry has recently been characterized by its affiliation with a unified software product line to develop similar software families especially with regard to mobile software systems. This production process allows the development of a wide range of products to meet the needs of customers with different requirements.This process also allows the reuse and development of the relevant software suite in terms of the common features and characteristics of the software. Although SPLE is increasingly successful in the software industry, it faces many challenges in deriving commonalities among software products belonging to a single family, in addition to the difficulties of possible differences that distinguish each product from others on request.Web design is one of the main concerns of programmers at the moment. The number of sites has increased and their design has been diversified in many different ways that often violate the standards of websites.Web sites are often redesigned from the outset as the developer wishes, which can cost a lot of time, as well as low quality and cost. This paper relates to the applying of software product line engineering methodology by deriving a model of features for the content of various websites related to educational institutions in general within the framework of the new software development according to the standards.This model is derived using the genetic algorithm to identify similarities and differences between the content components of the educational site. This method has proved to be easy and feasible in order to complete the construction of a unified platform based on the various designs of websites of a unified educational nature.

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Authors

Aisha Alsalem , Mabroukah Amarif
عائشة السالم محمد و مبروكه امعرف. (2019). Applying of Software Product Line Methodology for Web Site Design by Extracting Features Model Using Genetic Algorithm. Journal of Pure & Applied Sciences, 18(4). https://doi.org/10.51984/jopas.v18i4.525

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