M. Acher, P. Collet, P. Lahire, and R. France, FAMILIAR: A domain-specific language for large scale management of feature models, Science of Computer Programming, vol.78, issue.6, pp.657-681, 2013.
DOI : 10.1016/j.scico.2012.12.004

URL : https://hal.archives-ouvertes.fr/hal-00767175

G. Adomavicius and A. Tuzhilin, Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. Knowledge and Data Engineering, IEEE Transactions on, vol.17, issue.6, pp.734-749, 2005.

J. José´a, M. Galindo, M. Alférez, B. Acher, D. Baudry et al., A variability-based testing approach for synthesizing video sequences, ISSTA, 2014.

L. Muhammad-ali-babar, F. Chen, and . Shull, Managing variability in software product lines. Software, IEEE, vol.27, issue.3, pp.89-91, 2010.

D. Benavides, S. Segura, and A. Ruiz-cortés, Automated analysis of feature models 20 years later: A literature review, Information Systems, vol.35, issue.6, pp.615-636, 2010.
DOI : 10.1016/j.is.2010.01.001

D. Benavides, S. Segura, P. Trinidad, and A. R. Cortés, FaMa, VaMoS, p.1, 2007.
DOI : 10.1007/978-3-642-36583-6_11

J. Bobadilla, F. Ortega, A. Hernando, and A. Gutiérrez, Recommender systems survey. Knowledge-Based Systems, pp.109-132, 2013.

E. Burnette and . Hello, Android: introducing Google's mobile development platform, 2009.

L. Candillier, F. Meyer, and M. Boullé, Comparing State-of-the-Art Collaborative Filtering Systems, Machine Learning and Data Mining in Pattern Recognition, pp.548-562, 2007.
DOI : 10.1007/978-3-540-73499-4_41

A. José, D. Galindo, S. Benavides, and . Segura, Debian packages repositories as software product line models. towards automated analysis, ACoTA, pp.29-34, 2010.

A. José, H. Galindo, D. Turner, J. Benavides, and . White, Testing variability-intensive systems using automated analysis: an application to android, Software Quality Journal, pp.1-41, 2014.

J. García-galán, O. F. Rana, P. Trinidad, and A. Ruiz-cortés, Migrating to the cloud: a software product line based analysis, 3rd International Conference on Cloud Computing and Services Science (CLOSER'13), 2013.

B. Liu, Sentiment Analysis and Opinion Mining, Synthesis Lectures on Human Language Technologies, vol.5, issue.1, pp.1-167, 2012.
DOI : 10.2200/S00416ED1V01Y201204HLT016

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.244.9480

G. Rothermel and M. J. Harrold, A safe, efficient regression test selection technique, ACM Transactions on Software Engineering and Methodology, vol.6, issue.2, pp.173-210, 1997.
DOI : 10.1145/248233.248262

J. Schafer, D. Frankowski, J. Herlocker, and S. Sen, Collaborative Filtering Recommender Systems, The adaptive web, pp.291-324, 2007.
DOI : 10.1007/978-3-540-72079-9_9

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.4520

H. Srikanth, L. Williams, and J. Osborne, System test case prioritization of new and regression test cases, 2005 International Symposium on Empirical Software Engineering, 2005., p.10, 2005.
DOI : 10.1109/ISESE.2005.1541815