@incollection{eprints2592,
       booktitle = {Fundamental Approaches to Software Engineering},
            note = {17th International Conference, FASE 2014, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2014, Grenoble, France, April 5-13, 2014, Proceedings},
       publisher = {Springer},
          author = {Matthias Kowal and Ina Schaefer and Mirco Tribastone},
          series = {Lecture Notes in Computer Science},
           title = {Family-based performance analysis of variant-rich software systems},
            year = {2014},
           pages = {94--108},
          number = {8411},
        abstract = {We study models of software systems with variants that stem from a specific choice of configuration parameters with a direct impact on performance properties. Using UML activity diagrams with quantitative annotations, we model such systems as a product line. The efficiency of a product-based evaluation is typically low because each product must be analyzed in isolation, making difficult the re-use of computations across variants. Here, we propose a family-based approach based on symbolic computation. A numerical assessment on large activity diagrams shows that this approach can be up to three orders of magnitude faster than product-based analysis in large models, thus enabling computationally efficient explorations of large parameter spaces.},
             url = {http://eprints.imtlucca.it/2592/}
}