Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/84601
Título: | A concrete product derivation in software product line engineering: a practical approach |
Autor(es): | Ignaim, Karam Mustafa Alkharabsheh, Khalid Ferreira, André L. Fernandes, João M. |
Palavras-chave: | Software product lines Product derivation Feature models Product configuration Refactoring |
Data: | 2022 |
Editora: | Inderscience |
Revista: | International Journal of Computer Applications in Technology |
Citação: | Ignaim K, Alkharabsheh K, Ferreira AL e Fernandes JM; A concrete product derivation in software product line engineering: A practical approach, International Journal of Computer Applications in Technology 70(3/4):225-232, Inderscience, ISSN 0952-8091, 2022. |
Resumo(s): | Software Product Lines enable the development of a perfect family of products by reusing shared assets in a systematic manner. Product derivation is a critical activity in software product line engineering and one of the most pressing issues that a software product line must address. This work introduces an approach for automating the derivation of a product from a software product line. The software product line is part of a product family that evolved from a non-structured approach to managing variability. The automated derivation approach relies on product configurations and the refactoring of feature models. The approach was deployed and evaluated in the automotive domain using a real-world software product line. The outcome demonstrates that the approach generates a product in an automated and successful manner. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/84601 |
DOI: | 10.1504/IJCAT.2022.130881 |
ISSN: | 0952-8091 |
e-ISSN: | 1741-5047 |
Versão da editora: | https://www.inderscience.com/offers.php?id=130881 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2022-ijcat.pdf | Manuscrito | 654,87 kB | Adobe PDF | Ver/Abrir |