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Information 2015, 6(3), 550-563;

Analyzing Trends in Software Product Lines Evolution Using aCladistics Based Approach

IMS Team, Laboratory SIME, ENSIAS, University Mohamed V, Rabat 10500, Morocco
Author to whom correspondence should be addressed.
Academic Editor: Ahmed El Oualkadi
Received: 16 June 2015 / Revised: 14 August 2015 / Accepted: 21 August 2015 / Published: 27 August 2015
(This article belongs to the Special Issue Selected Papers from MedICT 2015)
Full-Text   |   PDF [438 KB, uploaded 27 August 2015]   |  


A software product line is a complex system the aim of which is to provide a platform dedicated to large reuse. It necessitates a great investment. Thus, its ability to cope with customers’ ever-changing requirements is among its key success factors. Great effort has been made to deal with the software product line evolution. In our previous works, we carried out a classification of these works to provide an overview of the used techniques. We also identified the following key challenges of software product lines evolution: the ability to predict future changes, the ability to define the impact of a change easily and the improvement in understanding the change. We have already tackled the second and the third challenges. The objective of this paper is to deal with the first challenge. We use the cladistics classification which was used in biology to understand the evolution of organisms sharing the same ancestor and their process of descent at the aim of predicting their future changes. By analogy, we consider a population of applications for media management on mobile devices derived from the same platform and we use cladistics to construct their evolutionary tree. We conducted an analysis to show how to identify the evolution trends of the case study products and to predict future changes. View Full-Text
Keywords: software product lines; evolution; cladistics software product lines; evolution; cladistics

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Benlarabi, A.; Khtira, A.; Asri, B.E. Analyzing Trends in Software Product Lines Evolution Using aCladistics Based Approach. Information 2015, 6, 550-563.

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