A co-evolution model for software product lines: An approach based on evolutionary trees

Benlarabi, Anissa; Asri, Bouchra El; Khtira, Amal

doi:10.1109/icocs.2014.7060991

Cited by 5 publications

(7 citation statements)

References 19 publications

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“…Some examples of evolution challenges are: the use of traceability links and dependencies between the software product line artifacts in order to analyze the change impacts [8], the proposition of evolution models to manage the evolution process rigorously [9], the co-evolution of domain and application models [10], the co-evolution of different artifacts of an evolving software product line [11] and the assessment of evolution before its implementation to anticipate the defects and unexpected behaviors [12]. In our study, we focus on a specific challenge, which is the verification of SPL models during evolution and the detection and correction of the resulting model defects.…”

Section: Spl Evolution Challengesmentioning

confidence: 99%

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Duplication Detection When Evolving Feature Models of Software Product Lines

2015

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After the derivation of specific applications from a software product line, the applications keep evolving with respect to new customer's requirements. In general, evolutions in most industrial projects are expressed using natural language, because it is the easiest and the most flexible way for customers to express their needs. However, the use of this means of communication has shown its limits in detecting defects, such as inconsistency and duplication, when evolving the existing models of the software product line. The aim of this paper is to transform the natural language specifications of new evolutions into a more formal representation using natural language processing. Then, an algorithm is proposed to automatically detect duplication between these specifications and the existing product line feature models. In order to instantiate the proposed solution, a tool is developed to automatize the two operations.

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Section: Spl Evolution Challengesmentioning

confidence: 99%

“…The domain and application models of a software product line generally co-evolve independently of each other [10]. Thus, the verification of duplication is carried out through two algorithms.…”

Section: • Detecting Duplication Between Specifications and Feature Mmentioning

confidence: 99%

Duplication Detection When Evolving Feature Models of Software Product Lines

2015

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“…In our previous work, we classified works that tackle the SPL evolution into three groups [3]. The first group is traceability approaches which capitalize on knowledge about traceability of links between the domain assets and the links between the domain and the application assets and give a rich knowledge base for change impact analysis.…”

Section: Our Previous Workmentioning

confidence: 99%

“…In ordcer to tackle the three challenges, we proposed a co-evolution approach for SPLs and also a design for a co-evolution analysis framework based on biological techniques. We discussed in detail the second and the third challenges previously [3] while the first challenge was less developed.…”

Section: Introductionmentioning

confidence: 99%

“…In order to deal efficiently with SPL evolution, we identified the three following challenges: the ability to plan the evolution and to predict future changes, the ability to define the impact of a change easily, and the improvement in understanding the change. In our previous work, we separated works done to deal with SPL evolution into three groups: traceability approaches, evolution modeling approaches and assessment techniques [3]. These approaches focus mainly on the second and the third challenges.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing Trends in Software Product Lines Evolution Using aCladistics Based Approach

2015

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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.

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