• Title/Summary/Keyword: 유스케이스

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Model-Based Design of Operational Management System for Integrated Wireless Communication Network of Korean Railway Systems (철도 통합무선망 운영관리 시스템의 모델기반 설계에 관한 연구)

  • Kim, Changwon;Kim, Kyung-Hee;Lee, Young-Hoon;Lee, Jae-Chon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.5
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    • pp.3071-3080
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    • 2015
  • The increased demand on the transport of both passengers and goods through rail systems implies higher traffic intensity and congestion on the railways, resulting in greater likelihood of accidents and also degraded passenger services. To cope with the issues, development of an integrated communication network for rails has attracted great deal of attention lately. GSM-R is such an example developed in Europe, which seems to have restrictions in providing various communication services due to network speed limit. For the reason, an LTE-based approach is under study in Korea. After the network development, operation management of the network is necessary. Design of operation management systems has been studied little and thus is the objective of this paper. To do so, a conceptual design has been carried out based on model-based approach. Specifically, a context model has first been created using the use case diagram. Then, SysML models of operational scenarios were developed for the management system. The SysML models have alternatively been expressed as EFFBD models to simulate and verify them. Consequently, the result of the conceptual system design for the operation management of the integrated wireless network is expected to be used as a basis for the detailed design later.

Using Requirements Engineering to support Non-Functional Requirements Elicitation for DAQ System

  • Kim, Kyung-Sik;Lee, Seok-Won
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.99-109
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    • 2021
  • In recent machine learning studies, in order to consider the quality and completeness of data, derivation of non-functional requirements for data has been proposed from the viewpoint of requirements engineering. In particular, requirements engineers have defined data requirements in machine learning. In this study, data requirements were derived at the data acquisition (DAQ) stage, where data is collected and stored before data preprocessing. Through this, it is possible to express the requirements of all data required in the existing DAQ system, the presence of tasks (functions) satisfying them, and the relationship between the requirements and functions. In addition, it is possible to elicit requirements and to define the relationship, so that a software design document can be produced, and a systematic approach and direction can be established in terms of software design and maintenance. This research using existing DAQ system cases, scenarios and use cases for requirements engineering approach are created, and data requirements for each case are extracted based on them, and the relationship between requirements, functions, and goals is illustrated through goal modeling. Through the research results, it was possible to extract the non-functional requirements of the system, especially the data requirements, from the DAQ system using requirements engineering.