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Enhancing Requirements Completeness of Automated Driving System in Concept Phase

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Enhancing Requirements Completeness of Automated Driving System in Concept Phase

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Enhancing Requirements Completeness of Automated Driving System in Concept Phase

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    20204 - Robotics and automatic control

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

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

  • ISBN

    9783030982591

  • ISSN

    0302-9743

  • e-ISSN

  • Počet stran výsledku

    20

  • Strana od-do

    377-396

  • Název nakladatele

    Springer Nature Switzerland AG

  • Místo vydání

    Switzerland

  • Místo konání akce

    Rome, Italy

  • Datum konání akce

    13. 10. 2021

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000787774900024