[HTML][HTML] Recent text-based research and applications in railways: A critical review and future trends
In the railway industry, a significant amount of data is stored in the textual format. The
advanced development of natural language processing and text mining techniques enable …
advanced development of natural language processing and text mining techniques enable …
Requirement or not, that is the question: A case from the railway industry
Abstract [Context and Motivation] Requirements in tender documents are often mixed with
other supporting information. Identifying requirements in large tender documents could aid …
other supporting information. Identifying requirements in large tender documents could aid …
[HTML][HTML] SmartDelta project: Automated quality assurance and optimization across product versions and variants
Software systems are often built in increments with additional features or enhancements on
top of existing products. This incremental development may result in the deterioration of …
top of existing products. This incremental development may result in the deterioration of …
[PDF][PDF] Applications of Machine Learning in Requirements Traceability: A Systematic Mapping Study (S).
X Li, B Wang, H Wan, Y Deng, Z Wang - SEKE, 2023 - ksiresearch.org
Requirements traceability (RT) is crucial for requirement management and impact analysis
of requirement change in software development. The applications of machine learning (ML) …
of requirement change in software development. The applications of machine learning (ML) …
Deep Neural Networks in Natural Language Processing for Classifying Requirements by Origin and Functionality: An Application of BERT in System Requirements
Given the foundational role of system requirements in design projects, designers can benefit
from classifying, comparing, and observing connections between requirements. Manually …
from classifying, comparing, and observing connections between requirements. Manually …
Requirements Classification for Smart Allocation: A Case Study in the Railway Industry
Allocation of requirements to different teams is a typical preliminary task in large-scale
system development projects. This critical activity is often performed manually and can …
system development projects. This critical activity is often performed manually and can …
Making sense of failure logs in an industrial devops environment
Processing and reviewing nightly test execution failure logs for large industrial systems is a
tedious activity. Furthermore, multiple failures might share one root/common cause during …
tedious activity. Furthermore, multiple failures might share one root/common cause during …
Large models in transportation infrastructure: a perspective
Y Du - Intelligent Transportation Infrastructure, 2024 - academic.oup.com
In late 2022, OpenAI launched ChatGPT and quickly came into the spotlight based on the
development of large language modeling technology. ChatGPT is regarded as a new …
development of large language modeling technology. ChatGPT is regarded as a new …
Empirical formal methods: guidelines for performing empirical studies on formal methods
MH ter Beek, A Ferrari - Software, 2022 - mdpi.com
Empirical studies on formal methods and tools are rare. In this paper, we provide guidelines
for such studies. We mention their main ingredients and then define nine different study …
for such studies. We mention their main ingredients and then define nine different study …
Enhancing Legal Compliance and Regulation Analysis with Large Language Models
S Hassani - arXiv preprint arXiv:2404.17522, 2024 - arxiv.org
This research explores the application of Large Language Models (LLMs) for automating the
extraction of requirement-related legal content in the food safety domain and checking legal …
extraction of requirement-related legal content in the food safety domain and checking legal …