[HTML][HTML] Recent text-based research and applications in railways: A critical review and future trends

K Dong, I Romanov, C McLellan, AF Esen - Engineering Applications of …, 2022 - Elsevier
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 …

Requirement or not, that is the question: A case from the railway industry

S Bashir, M Abbas, M Saadatmand, EP Enoiu… - … Working Conference on …, 2023 - Springer
Abstract [Context and Motivation] Requirements in tender documents are often mixed with
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

M Saadatmand, M Abbas, EP Enoiu… - Microprocessors and …, 2023 - Elsevier
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 …

[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) …

Deep Neural Networks in Natural Language Processing for Classifying Requirements by Origin and Functionality: An Application of BERT in System Requirements

J Mullis, C Chen, B Morkos… - Journal of …, 2024 - asmedigitalcollection.asme.org
Given the foundational role of system requirements in design projects, designers can benefit
from classifying, comparing, and observing connections between requirements. Manually …

Requirements Classification for Smart Allocation: A Case Study in the Railway Industry

S Bashir, M Abbas, A Ferrari… - 2023 IEEE 31st …, 2023 - ieeexplore.ieee.org
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 …

Making sense of failure logs in an industrial devops environment

M Abbas, A Hamayouni, MH Moghadam… - International Conference …, 2023 - Springer
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 …

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 …

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 …

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 …