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