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E-raamat: System Analysis and Modeling. Languages, Methods, and Tools for Systems Engineering: 10th International Conference, SAM 2018, Copenhagen, Denmark, October 15-16, 2018, Proceedings

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This book constitutes the refereed proceedings of the 10th International Conference on System Analysis and Modeling, SAM 2018, held in Copenhagen Denmark, in October 2018. The 12 full papers and 2 short papers presented were carefully reviewed and selected from 24 submissions. The papers describe innovations, trends, and experiences in modeling and analysis of complex systems using ITU-T's Specification and Description Language (SDL-2010) and Message Sequence Chart (MSC) notations, as well as related system design languages — including UML, ASN.1, TTCN, SysML and the User Requirements Notation (URN). This year’s edition of SAM will be under the theme “Languages, Methods, and Tools for Systems Engineering”, including languages and methods standardized by the ITU-T, and domain-specific languages. Also included are software engineering technologies, such as for requirements engineering, software verification and validation, and automated code generation.
Modeling Data Protection Vulnerabilities of Cloud Systems using Risk
Patterns.- Scheduling Architectures for Scientific Workows in the Cloud.-
CREST.- A DSL for Reactive Cyber-Physical Systems.- On the Ontological
Expressiveness of the High-Level Constraint Language for Product Line
Specification.- Distributed Computing on Distributed Memory.- Pattern
Libraries Guiding the Model-based Reuse of Automotive Solutions.- Enabling
Performance Modeling for the Masses: Initial Experiences.- Realizability of
Service Specifications.- An Arithmetic Semantics for GRL Goal Models with
Function Generation.- Textual User Requirements Notation.- A Comparative
Analysis of ITU-MSC-based Requirements Specification Approaches used in the
Automotive Industry.- Towards Online Collaborative Multi-View Modeling.-
Collaborative Software Design and Modeling in Open Source Systems.- The
Impact of Integrating Agile Software Development and Model-Driven
Development: A Comparative Case Study.