Variability Management in Software Product Lines Online Learning Applications

Authors

  • Suhaina Mohamed Zaki Faculty of Computing, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.
  • Radziah Mohamad Faculty of Computing, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.
  • Shahliza Abd Halim Faculty of Computing, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.
  • Nor Bahiah Ahmad Faculty of Computing, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.

Keywords:

Domain Analysis, Online Learning, Software Product Lines, Variability Management,

Abstract

The process of learning and teaching online learning has undergone many changes in line with technological developments. Education institutions have begun introducing new methods of learning this. However, it needs a huge amount of labor intensive to produce and maintain educational technologies due to its huge size (literacy, vocational education, school education, engineering and medical education) and huge variants (language, dialect). With the growing demand and at the same time would like to reduce the factor of cost, time and effort is long, then the need for an effective solution allowing rapid system development. A Software Product Line (SPL) approach is one of the best methods that can be used to develop an educational software family. This research focuses on core asset by recognizing and representing variability in variability management. The study employed two phases of activities in data gathering, there are filtering out data from secondary sources which detail out the features of e-learning and constructivist learning environment of each Virtual Learning Environment (VLE). Second phase involved the use of expert interviews to determine the features of each higher institution elearning and identify Primitive Requirement of Malaysian Higher Education online learning. Commonality and Variability Analysis (CV Analysis) method has been used as identification of commonality and variability. This analysis is to develop a feature model which further helps in visual representation variants requirements and enhance reusability in the context of product line approaches. As a result, there are 20 Primitive Requirements (PR) has been identified and clearly divided into two categories, common and optional. The frequency in each application of online learning is used to determine whether the PR is reusable. The identification and representation will increase the potential for reuse and help in publishing the specific requirements of the application in the development of the product line.

Downloads

Published

2017-10-20

How to Cite

Mohamed Zaki, S., Mohamad, R., Abd Halim, S., & Ahmad, N. B. (2017). Variability Management in Software Product Lines Online Learning Applications. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-5), 157–162. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2986

Issue

Vol. 9 No. 3-5: Special Issue on Software Engineering III

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.