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In this work, we assessed the usefulness of Named Entity Recognition (NER) models to automatically identify IoT critical objects as a way to make a modelling ...
This work is aimed at assessing the usefulness of the NER model to identify IoT critical objects (services, devices and resources) from storylines, requirements ...
Many techniques for extracting events rely on domain specific natural language processing or information retrieval techniques. As an alternative, this work ...
Co-authors ; Automated Extraction of IoT Critical Objects from IoT Storylines, Requirements and User Stories via NLP. CF Iglesias, R Guo, P Nucci, C Miceli, M ...
In this paper, we propose to automatically derive conceptual models from a concise and widely adopted NL notation for requirements: user stories. Due to their ...
Missing: IoT Critical
Publications. Publication (1). Automated Extraction of IoT Critical Objects from IoT Storylines, Requirements and User Stories via NLP ... Get it on Google Play.
This paper presents a platform that supports Experimentation as s Service (EaaS) over a federation of IoT testbeds that leverages semantic web technologies.
NERSE is a tool that enables the user to identify software specific entities specific to software engineering domain with machine learning algorithms ...
Mar 6, 2024 · This article provides a comprehensive survey on the advances and integration of data science with the Intelligent IoT (IIoT) system.
Missing: Storylines, NLP.
Objectives: Our user story research seeks to address the questions faced above by developing a solution to automate the requirement-gathering process and offer.
Missing: IoT Storylines,