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Main Title: Supporting the Development of Cyber-Physical Systems with Natural Language Processing: A Report
Author(s): Vogelsang, Andreas
Hartig, Kerstin
Pudlitz, Florian
Schlutter, Aaron
Winkler, Jonas
Type: Conference Object
Language Code: en
Abstract: Software has become the driving force for innovations in any technical system that observes the environment with different sensors and influence it by controlling a number of actuators; nowadays called Cyber-Physical System (CPS). The development of such systems is inherently inter-disciplinary and often contains a number of independent subsystems. Due to this diversity, the majority of development information is expressed in natural language artifacts of all kinds. In this paper, we report on recent results that our group has developed to support engineers of CPSs in working with the large amount of information expressed in natural language. We cover the topics of automatic knowledge extraction, expert systems, and automatic requirements classification. Furthermore, we envision that natural language processing will be a key component to connect requirements with simulation models and to explain tool-based decisions. We see both areas as promising for supporting engineers of CPSs in the future.
Issue Date: 2019
Date Available: 4-Mar-2019
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): cyber-physical systems
natural language processing
automatic knowledge extraction
expert system
automatic requirements classi cation
Proceedings Title: NLP4RE 2019: 2nd Workshop on Natural Language Processing for Requirements Engineering @ REFSQ, Essen, Germany
ISSN: 1613-0073
Notes: Preprint submitted to NLP4RE 2019: 2nd Workshop on Natural Language Processing for Requirements Engineering @ REFSQ, Essen, Germany (CEUR workshop)
Appears in Collections:FG IT-basierte Fahrzeuginnovationen » Publications

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