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FDDetector: A Tool for Deduplicating Features in Software Product Lines

Authors :
Khtira, Amal
Benlarabi, Anissa
El Asri, Bouchra
Khtira, Amal
Benlarabi, Anissa
El Asri, Bouchra
Source :
American Academic Scientific Research Journal for Engineering, Technology, and Sciences; Vol 62 No 1 (2019); 192-209; 2313-4402; 2313-4410
Publication Year :
2020

Abstract

Duplication is one of the model defects that affect software product lines during their evolution. Many approaches have been proposed to deal with duplication in code level while duplication in features hasn’t received big interest in literature. At the aim of reducing maintenance cost and improving product quality in an early stage of a product line, we have proposed in previous work a tool support based on a conceptual framework. The main objective of this tool called FDDetector is to detect and correct duplication in product line models. In this paper, we recall the motivation behind creating a solution for feature deduplication and we present progress done in the design and implementation of FDDetector.

Details

Database :
OAIster
Journal :
American Academic Scientific Research Journal for Engineering, Technology, and Sciences; Vol 62 No 1 (2019); 192-209; 2313-4402; 2313-4410
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1296045592
Document Type :
Electronic Resource