S
Steffen Becker
Researcher at University of Stuttgart
Publications - 145
Citations - 3449
Steffen Becker is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Component (UML) & Software. The author has an hindex of 29, co-authored 132 publications receiving 3230 citations. Previous affiliations of Steffen Becker include Center for Information Technology & Chemnitz University of Technology.
Papers
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Journal ArticleDOI
The Palladio component model for model-driven performance prediction
TL;DR: The Palladio component model (PCM) is used to specify component-based software architectures in a parametric way to enable the prediction of extra-functional properties, and the resulting prediction accuracy is sufficient to support the evaluation of architectural design decisions.
Proceedings ArticleDOI
Model-Based performance prediction with the palladio component model
TL;DR: This paper uses the Palladio Component Model (PCM) to specify component-based software architectures in a parametric way and presents a model and a simulation tool based on it, which can be sufficient to support the evaluation of architectural design decisions.
Proceedings ArticleDOI
Automatically improve software architecture models for performance, reliability, and cost using evolutionary algorithms
TL;DR: This work proposes an automated approach to search the design space for good solutions by applying a multi-criteria genetic algorithm to software architectures modelled with the Palladio Component Model and can be extended to other quantitative quality criteria of software architectures.
Book
Modeling and Simulating Software Architectures: The Palladio Approach
Ralf Reussner,Steffen Becker,Jens Happe,Robert Heinrich,Anne Koziolek,Heiko Koziolek,Max E. Kramer,Klaus Krogmann +7 more
TL;DR: This book presents a new, quantitative architecture simulation approach to software design, Palladio, which allows software engineers to model quality of service in early design stages and shows students and professionals how to model reusable, parametrized components and configured, deployed systems in order to analyze service attributes.
BookDOI
Performance Prediction of Component-Based Systems A Survey from an Engineering Perspective
TL;DR: This paper analyzes the applicability of various performance pre- diction methods for the development of component-based systems and contrast their inherent strengths and weaknesses in different engineering problem scenar- ios to establish a basis to select an appropriate prediction method.