Integration of Modeling and Verification for System Model Based on KARMA Language
Model-based systems engineering (MBSE) enables to verify the system performance using system behavior models, which can identify design faults that do not meet the stakeholders’ requirements as early as possible, thus reducing the R&D cost and error risks. Currently, different domain engineers make use of different modeling languages to create their own behavior models. Different behavior models are verified by different approaches. It is difficult to adopt a unified integrated platform to support the modeling and verification of heterogeneous behavior models during the conceptual design phase. This paper proposes a unified modeling and verification approach supporting system formalisms and verification. The KARMA language is used to support the unified formalisms across MBSE models and dynamic simulations for different domain specific models. In order to describe the behavior model more precisely and to facilitate verification, the syntax of hybrid automata is integrated into KARMA. We implemented behavior models and their verification in MetaGraph, a multi-architecture modeling tool. Finally, the effectiveness of the proposed approach is validated by two cases: 1) the scenario of booking railway tickets using BPMN models; 2) the behavior performance simulation of unmanned vehicles using a SysML state machine diagram.
Mon 18 OctDisplayed time zone: Central Time (US & Canada) change
10:50 - 12:10 | Verification and validation, ToolingDSM at Zurich F Chair(s): Matti Rossi Aalto University School of Business Verification and validation with DSM, Tool development, Workshop summary and discussion | ||
10:50 20mTalk | Co-designing DSL Quality Assurance Measures for and with Non-programming Experts DSM Holger Borum IT University of Copenhagen, Christoph Seidl IT University of Copenhagen, Peter Sestoft IT University of Copenhagen DOI | ||
11:10 20mTalk | Integration of Modeling and Verification for System Model Based on KARMA Language DSM Jie Ding Beijing Institute of Technology, Michel Reniers Eindhoven University of Technology, Jinzhi Lu EPFL, Guoxin Wang Beijing Institute of Technology, Lei Feng KTH, Dimitris Kiritsis EPFL DOI | ||
11:30 20mTalk | Differential-FORMULA: Towards a Semantic Backplane for Incremental Modeling DSM Qishen Zhang Vanderbilt University, Daniel Balasubramanian Vanderbilt University, Tamas Kecskes Vanderbilt University, Janos Sztipanovits Vanderbilt University DOI | ||
11:50 20mOther | Discussion and summary DSM Jonathan Sprinkle University of Arizona, Matti Rossi Aalto University School of Business, Jeff Gray University of Alabama, Juha-Pekka Tolvanen MetaCase |