An Extensible Modeling Method Supporting Ontology-Based Scenario Specification and Domain-Specific Extension

Author:

Baek Young-Min1ORCID,Cho Esther1,Shin Donghwan2ORCID,Bae Doo-Hwan1ORCID

Affiliation:

1. Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

2. University of Sheffield, Sheffield, UK

Abstract

Scenario-based techniques, also known as scenario methods, have been actively employed to resolve intricate problems for engineering complex software systems. Scenarios are powerful tools that allow engineers to analyze the dynamics and contexts of complex systems. Despite the widespread use, there is a lack of a well-established reference framework that systematically organizes key concepts and attributes of scenarios. This has left engineers without a systematic guidance at the method level, hindering their ability to utilize the scenario methods effectively. To address the challenges associated with scenario methods, this study aims to provide a reference framework and modeling method. By conducting a literature review and suggesting a Conceptual Scenario Framework (CSF), we establish a conceptual basis that systematically presents the core concepts and characteristics of scenarios. Additionally, we introduce the Extensible Scenario Modeling Method (ESMM) that empowers engineers to perform scenario modeling and domain-specific extensions using the framework. With the inclusion of the Extensible Scenario Modeling Language (ESML), which comprises domain-general model types and classes for scenario description and ontological analysis, ESMM facilitates flexible design of domain-specific scenario elements through language-level extensions. This study assesses the proposed method in comparison to existing scenario development methods in the automated driving system domain. Through an analysis of their ability to represent scenario data, it was established that the language constructs of ESML possess semantic expressiveness suitable for serving as a reference framework. Furthermore, the findings from the case study validate the extensibility of ESMM for specialization in creating a scenario modeling language tailored to specific domains, while also effectively supporting the ontological analysis of particular application domains.

Funder

MSIT (Ministry of Science and ICT), Korea

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

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