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Empirical evaluation of a decision support model for adopting software product line engineering
Date
2015-04-01
Author
Tuzun, Eray
Tekinerdogan, Bedir
Kalender, Mert Emin
Bilgen, Semih
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Context: The software product line engineering (SPLE) community has provided several different approaches for assessing the feasibility of SPLE adoption and selecting transition strategies. These approaches usually include many rules and guidelines which are very often implicit or scattered over different publications. Hence, for the practitioners it is not always easy to select and use these rules to support the decision making process. Even in case the rules are known, the lack of automated support for storing and executing the rules seriously impedes the decision making process.
Subject Keywords
Case study design
,
Software product line engineering;
,
Software product line transition strategies
,
Software product line engineering feasibility analysis
,
Decision support system
,
Systematic literature review
URI
https://hdl.handle.net/11511/62947
Journal
INFORMATION AND SOFTWARE TECHNOLOGY
DOI
https://doi.org/10.1016/j.infsof.2014.12.007
Collections
Graduate School of Natural and Applied Sciences, Article
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The software product line engineering (SPLE) community has provided several different approaches for assessing the feasibility of SPLE adoption and selecting transition strategies. These approaches usually include many rules and guidelines which are very often implicit or scattered over different publications. Hence, for the practitioners it is not always easy to select and use these rules to support the decision-making process. To support the decision-making process in SPLE adoption, a decision support mod...
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E. Tuzun, B. Tekinerdogan, M. E. Kalender, and S. Bilgen, “Empirical evaluation of a decision support model for adopting software product line engineering,”
INFORMATION AND SOFTWARE TECHNOLOGY
, pp. 77–101, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62947.