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Enhancing Requirements Completeness of Automated Driving System in Concept Phase

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00125656" target="_blank" >RIV/00216224:14330/22:00125656 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-030-98260-7_24" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-98260-7_24</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-98260-7_24" target="_blank" >10.1007/978-3-030-98260-7_24</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Enhancing Requirements Completeness of Automated Driving System in Concept Phase

  • Original language description

    During the product lifecycle, a change in the requirements may involve expensive consequences on the system development. Nevertheless, having a decent understanding of the system and documenting the correct requirements from different perspectives helps to minimize the changes caused by missing functionalities, therefore, reducing the development cost. Developing a comprehensive understanding of the system in the concept phase promotes completeness and reduces the requirements’ changes. That helps also to create a good model of the system and develop simulation and test cases, which reveal the bugs and the design issues early. This work focuses on thinking strategy to answer the research question, “How to analyze the Automated Driving System (ADS) to improve the requirements’ completeness”. ADS is a complex system that works in a non-deterministic environment, in addition, it is a safety-related system, meaning that, any malfunction during the operation can cause harm to people or properties. Three systematic methods were investigated. First, identify the gaps among the stakeholders. It uses the product life cycle to identify a list of internal and external stakeholders and then identify their expected needs. The second systematic process utilizes the holistic thinking perspectives method to build a broad understanding of ADS and its neighbor systems. This process tries to direct the system definition using external, internal, progressive, quantitative, and scientific perspectives. The last method deals with safety requirements identification tools.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    International Conference on Modelling and Simulation for Autonomous Systems / MESAS 2021: Modelling and Simulation for Autonomous Systems

  • ISBN

    9783030982591

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    20

  • Pages from-to

    377-396

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Switzerland

  • Event location

    Rome, Italy

  • Event date

    Oct 13, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000787774900024