Software architecture description languages (ADLs) were a particularly active research area in the 1990s. In 2000, we published an extensive study of existing ADLs, which has serv...
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Software estimation models should support managerial decision making in software projects. We experience that most of current models do not achieve this goal to the extend manager...
In order for middleware systems to be adaptive, their properties and services need to support a wide variety of application-specific policies. However, application developers and ...
Current object-oriented development practice is centered around application frameworks. In this paper, we argue that this approach is misleading, as it distracts from the ultimate...