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CoBRA® is one of the most evaluated software estimation methods. Experiences have been presented at the most prominent software engineering conferences. Please find below an extract of the list of publications describing prominent CoBRA® evaluations:

L. Briand, K. El Emam, F. Bomarius,
„CoBRA®: a hybrid method for software cost estimation, benchmarking, and risk assessment”
Proceedings of the 20th International Conference on Software Engineering, Kyoto, Japan, pp.390-399, 1998.
Kläs, M., Trendowicz, A., Wickenkamp, A., Münch, J., Kikuchi, N., Ishigai, Y.,
The Use of Simulation Techniques for Hybrid Software Cost Estimation and Risk Analysis
Advances in Computers, Academic Press, vol. 74, pp. 115–174, 2008
M. Ruhe, R. Jeffery, I. Wieczorek,
„Cost estimation for web applications”
Proceedings of the 25th International Conference on Software Engineering, pp. 285- 294. 2003.
A. Trendowicz, J. Heidrich, J. Münch, Y. Ishigai, K. Yokoyama, and N. Kikuchi,
„Development of a Hybrid Cost Estimation Model in an Iterative Manner”
Proceedings of the 28th International Conference on Software Engineering, Shanghai, China, pp. 331-340, 2006. Reprinted in Software Engineering Center Journal, no. 7, Sept. 2006, Tokyo, Japan, ISSN 1349-8622 (in Japanese).
A. Trendowicz, J. Heidrich, J. Münch,
“Enhancing a Hybrid Cost Modeling Method CoBRA® for Supporting Process Maturation"
Proceedings of the International Workshop on Software Measurement (IWSM 2006) and Metrik Kongress (MetriKon 2006), Potsdam, Germany, 2006.
Kläs, M.,Trendowicz, A., Ishigai, Y., Nakao, H.,
"Handling Estimation Uncertainty with Bootstrapping: Empirical Evaluation in the Context of Hybrid Prediction Methods," Proceedings of the 5th International Symposium on Empirical Software Engineering and Measurement (ESEM 2011), Banff, Canada, September 22-23, ACM/IEEE, 2011.
Kläs, M., Nakao, H., Elberzhager, E., Münch, J.,
Support Planning and Controlling of Early Quality Assurance by Combining Expert Judgment and Defect Data - A Case Study,” Empirical Software Engineering Journal, vol. 15, no. 4, pp. 423-454, Springer, 2009, DOI: 10.1007/s10664-009-9112-1
Kläs, M., Elberzhager, F., Münch, J., Hartjes, K., von Graevemeyer, O.,
Transparent Combination of Expert and Measurement Data for Defect Prediction – An Industrial Case Study,” Proceedings of the 32nd International Conference on Software Engineering (ICSE 2010), Cape Town, South Africa, May 2-8, vol. 2, ACM New York, pp. 119-128, 2010
Kläs, M., Nakao, H., Elberzhager, F., Münch, J.,
Predicting Defect Content and Quality Assurance Effectiveness by Combining Expert Judgment and Defect Data - A Case Study,” 19th International Symposium on Software Reliability Engineering (ISSRE), IEEE Computer Society, pp. 17-26, 2008 (awarded as the Best Paper among 116 submissions)