Publications

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Guo, J., K. Czarnecki, S. Apel, N. Siegmund, and A. Wąsowski, Variability-Aware Performance Modeling: A Statistical Learning Approach, , Waterloo, Generative Software Development Laboratory, University of Waterloo, 08/2012. [pdf]
Guo, J., K. Czarnecki, S. Apel, N. Siegmund, and A. Wąsowski, Why CART Works for Variability-Aware Performance Prediction? An Empirical Study on Performance Distributions, , Waterloo, Generative Software Development Laboratory, University of Waterloo, 04/2013. [pdf]
Guo, J., K. Czarnecki, S. Apel, N. Siegmund, and A. Wąsowski, "Variability-Aware Performance Prediction: A Statistical Learning Approach", 28th IEEE/ACM International Conference on Automated Software Engineering (ASE), Silicon Valley, California, USA, IEEE, 11/2013. [pdf][pdf]
Guo, J., E. Zulkoski, R. Olaechea, D. Rayside, K. Czarnecki, S. Apel, and J. M. Atlee, "Scaling Exact Multi-Objective Combinatorial Optimization by Parallelization", 29th IEEE/ACM International Conference on Automated Software Engineering (ASE), Västerås, Sweden, ACM, to appear, 2014. [pdf][pdf]
Gaeta, J., and K. Czarnecki, "Modeling Aerospace Systems Product Lines in SysML", 19th International Software Product Line Conference (SPLC), 2015.

We've got lots of freedom and independence, but you are never on your own when you encounter problems.

Kacper Bąk

People in the lab are very enthusiastic about what they do. The environment is very stimulating and soon you realize that most of the limits are those in your head.

Kacper Bąk