L. Bodenstaff, A. Wombacher, M. Reichert, and M. Jaeger, Monitoring Dependencies for SLAs: The MoDe4SLA Approach, 2008 IEEE International Conference on Services Computing, pp.21-29, 2008.
DOI : 10.1109/SCC.2008.120

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.578.5173

B. Wetzstein, P. Leitner, F. Rosenberg, I. Brandic, S. Dustdar et al., Monitoring and Analyzing Influential Factors of Business Process Performance, 2009 IEEE International Enterprise Distributed Object Computing Conference, pp.141-150, 2009.
DOI : 10.1109/EDOC.2009.18

P. Leitner, B. Wetzstein, F. Rosenberg, A. Michlmayr, S. Dustdar et al., Runtime Prediction of Service Level Agreement Violations for Composite Services, International Conference on Service-Oriented Computing, pp.176-186, 2009.
DOI : 10.1007/978-3-540-89652-4_14

P. Leitner, A. Michlmayr, F. Rosenberg, and S. Dustdar, Monitoring, Prediction and Prevention of SLA Violations in Composite Services, 2010 IEEE International Conference on Web Services, 2010.
DOI : 10.1109/ICWS.2010.21

E. Schmieders and A. Metzger, Preventing Performance Violations of Service Compositions Using Assumption-Based Run-Time Verification, 4th European Conference ServiceWave, pp.194-205, 2011.
DOI : 10.1109/ICWS.2010.10

L. Zeng, B. Benatallah, A. H. Ngu, M. Dumas, J. Kalagnanam et al., QoS-aware middleware for Web services composition, IEEE Transactions on Software Engineering, vol.30, issue.5, pp.311-327, 2004.
DOI : 10.1109/TSE.2004.11

J. Kephart and D. Chess, The vision of autonomic computing, Computer, vol.36, issue.1, pp.41-50, 2003.
DOI : 10.1109/MC.2003.1160055

J. Hielscher, R. Kazhamiakin, A. Metzger, and M. Pistore, A Framework for Proactive Self-adaptation of Service-Based Applications Based on Online Testing, 1st European Conference ServiceWave, 2008.
DOI : 10.1007/978-3-540-89897-9_11

D. Dranidis, A. Metzger, and D. Kourtesis, Enabling Proactive Adaptation through Just-in-Time Testing of Conversational Services, 3rd European Conference ServiceWave, pp.63-75, 2010.
DOI : 10.1007/978-3-642-17694-4_6

V. Hodge and J. Austin, A Survey of Outlier Detection Methodologies, Artificial Intelligence Review, vol.22, issue.2, pp.85-126, 2004.
DOI : 10.1023/B:AIRE.0000045502.10941.a9

M. Jaeger, G. Rojec-goldmann, and G. Muhl, QoS aggregation for web service composition using workflow patterns, Proceedings. Eighth IEEE International Enterprise Distributed Object Computing Conference, 2004. EDOC 2004., 2004.
DOI : 10.1109/EDOC.2004.1342512

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.6587

D. L. Cook, Program Evaluation and Review Technique?Applications in Education, 1966.
DOI : 10.1037/e590022009-001

M. Bramer, Principles of Data Mining, 2007.

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, 2009.
DOI : 10.1145/1656274.1656278

Z. Zheng, Y. Zhang, and M. Lyu, Distributed qos evaluation for realworld web services, 8th International Conference on Web Services (ICWS'10), pp.83-90, 2010.

F. Salfner, M. Lenk, and M. Malek, A survey of online failure prediction methods, ACM Computing Surveys, vol.42, issue.3, pp.1-1042, 2010.
DOI : 10.1145/1670679.1670680