@incollection{ArmengaudMacherMassoneretal.2018, author = {Armengaud, Erik and Macher, Georg and Massoner, Alexander and Frager, Sebastian and Adler, Rasmus and Schneider, Daniel and Longo, Simone and Melis, Massimiliano and Groppo, Riccardo and Villa, Federica and O'Leary, Padraig and Bambury, Kevin and Anita, Finnegan and Zeller, Marc and H{\"o}fig, Kai and Papadopoulos, Yiannis and Hawkins, Richard and Kelly, Tim}, title = {DEIS: Dependability Engineering Innovation for Industrial CPS}, series = {Advanced Microsystems for Automotive Applications 2017}, booktitle = {Advanced Microsystems for Automotive Applications 2017}, publisher = {Springer}, address = {Cham}, publisher = {Technische Hochschule Rosenheim}, pages = {151 -- 163}, year = {2018}, abstract = {The open and cooperative nature of Cyber-Physical Systems (CPS) poses new challenges in assuring dependability. The DEIS project (Dependability Engineering Innovation for automotive CPS. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 732242, see http://www.deis-project.eu) addresses these challenges by developing technologies that form a science of dependable system integration. In the core of these technologies lies the concept of a Digital Dependability Identity (DDI) of a component or system. DDIs are modular, composable, and executable in the field facilitating (a) efficient synthesis of component and system dependability information over the supply chain and (b) effective evaluation of this information in-the-field for safe and secure composition of highly distributed and autonomous CPS. The paper outlines the DDI concept and opportunities for application in four industrial use cases.}, language = {en} } @incollection{Beneken2006, author = {Beneken, Gerd}, title = {Referenzarchitekturen}, series = {Handbuch der Software-Architektur}, booktitle = {Handbuch der Software-Architektur}, publisher = {dpunkt}, address = {Heidelberg}, publisher = {Technische Hochschule Rosenheim}, year = {2006}, abstract = {Die Architektur eines Software-Systems ist im Wesentlichen die Beschreibung des Systems anhand einzelner Beziehungen, die zwischen diesen Bausteinen bestehen. Die Wahl einer bestimmten Architektur ist eine grundlegende Entscheidung im Entwicklungsprozess und hat großen Einfluss auf die Qualit{\"a}t des sp{\"a}teren Systems. In diesem Handbuch wird erstmalig ein fundierter Einstieg und {\"U}berblick {\"u}ber den Stand der Technik und zukunftsweisende Entwicklungen im Bereich der Software-Architekturen gegeben. Ausgehend von der Rolle des Software-Architekten werden die Konstruktion und Evolution sowie Migration von Software-Architekturen systematisch aufbereitet. Als Modellierungssprache wird {\"u}berwiegend die Unified Modeling Language (UML) verwendet. Um ein umfassendes Verst{\"a}ndnis f{\"u}r die Bedeutung von Architekturbeschreibungen zu erhalten, werden auch dieThemen Management, Bewertung und Wiederverwendung von Software-Architekturen behandelt. Ebenso wird auf neuere Konzepte wie Model-Driven Architecture (MDA), Software-Produktlinien, Reverse Engineering sowie Performance- und Sicherheitsaspekte eingegangen. Dabei werden die Konzepte beispielhaft illustriert. Im Anhang befinden sich ein Kapitel {\"u}ber formale Grundlagen der Architekturmodellierung, eine {\"U}bersicht {\"u}ber Architekturbeschreibungssprachen sowie ein Glossar. Das Buch ist ein Gemeinschaftswerk der Mitglieder des Arbeitskreises Software-Architektur der Gesellschaft f{\"u}r Informatik}, language = {de} } @incollection{SeifertBeneken2005, author = {Seifert, T. and Beneken, Gerd}, title = {Evolution and Maintenance of MDA Applications}, series = {Model-Driven Software Development}, booktitle = {Model-Driven Software Development}, editor = {Beydeda, S. and Book, M. and Gruhn, V.}, publisher = {Springer}, address = {Berlin}, publisher = {Technische Hochschule Rosenheim}, year = {2005}, abstract = {Abstraction is the most basic principle of software engineering. Abstractions are provided by models. Modeling and model transformation constitute the core of model-driven development. Models can be refined and finally be transformed into a technical implementation, i.e., a software system. The aim of this book is to give an overview of the state of the art in model-driven software development. Achievements are considered from a conceptual point of view in the first part, while the second part describes technical advances and infrastructures. Finally, the third part summarizes experiences gained in actual projects employing model-driven development. Beydeda, Book and Gruhn put together the results from leading researchers in this area, both from industry and academia. The result is a collection of papers which gives both researchers and graduate students a comprehensive overview of current research issues and industrial forefront practice, as promoted by OMG's MDA initiative.}, language = {en} } @incollection{YeapWongSchmidt2008, author = {Yeap, W.K. and Wong, C.K. and Schmidt, Jochen}, title = {Using a Mobile Robot to Test a Theory of Cognitive Mapping.}, series = {Robotics and Cognitive Approaches to Spatial Mapping, Springer Tracts in Advanced Robotics}, booktitle = {Robotics and Cognitive Approaches to Spatial Mapping, Springer Tracts in Advanced Robotics}, publisher = {Springer}, address = {Berlin}, publisher = {Technische Hochschule Rosenheim}, year = {2008}, abstract = {This paper describes using a mobile robot, equipped with some sonar sensors and an odometer, to test navigation through the use of a cognitive map. The robot explores an office environment, computes a cognitive map, which is a network of ASRs [36, 35], and attempts to find its way home. Ten trials were conducted and the robot found its way home each time. From four random positions in two trials, the robot estimated the home position relative to its current position reasonably accurately. Our robot does not solve the simultaneous localization and mapping problem and the map computed is fuzzy and inaccurate with much of the details missing. In each homeward journey, it computes a new cognitive map of the same part of the environment, as seen from the perspective of the homeward journey. We show how the robot uses distance information from both maps to find its way home.}, language = {en} }