SMTIBEA: a hybrid multi-objective optimization algorithm for configuring large constrained software product lines-Reference-Cited by-同舟云学术

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SMTIBEA: a hybrid multi-objective optimization algorithm for configuring large constrained software product lines

Published:2017-07-22 Issue:2 Volume:18 Page:1447-1466
ISSN:1619-1366
Container-title:Software & Systems Modeling
language:en
Short-container-title:Softw Syst Model

Author:

Guo Jianmei^ORCID,Liang Jia Hui,Shi Kai,Yang Dingyu,Zhang Jingsong,Czarnecki Krzysztof,Ganesh Vijay,Yu Huiqun

Funder

National Natural Science Foundation of China

Specialized Research Fund for Doctoral Program of Higher Education

Shanghai Municipal Natural Science Foundation

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Modelling and Simulation,Software

Link

http://link.springer.com/content/pdf/10.1007/s10270-017-0610-0.pdf

Reference60 articles.

1. Apel, S., Batory, D.S., Kästner, C., Saake, G.: Feature-Oriented Software Product Lines—Concepts and Implementation. Springer, Berlin (2013)

2. Arcuri, A., Briand, L.C.: A practical guide for using statistical tests to assess randomized algorithms in software engineering. In: Proceedings of 33rd International Conference on Software Engineering (ICSE), pp. 1–10 (2011)

3. Batory, D.: Feature models, grammars, and propositional formulas. In: Proceedings of 9th International Software Product Line Conference (SPLC), pp. 7–20 (2005)

4. Benavides, D., Segura, S., Cortés, A.: Automated analysis of feature models 20 years later: a literature review. Inf. Syst. 35(6), 615–636 (2010)

5. Berger, T., She, S., Lotufo, R., Wasowski, A., Czarnecki, K.: A study of variability models and languages in the systems software domain. IEEE Trans. Softw. Eng. 39(12), 1611–1640 (2013)

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