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20232026
most citedRethinking Legal Compliance Automation: Opportunities with Large Language Models

3 citations · 9 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.SE2026

EdgeFlow: Edge-Map Augmented VLM-Based Flowchart Processing for Industrial Requirements Engineering

Zhifei Dou, Shabnam Hassani, Ou Wei

Flowcharts are widely used in industrial requirements, but usually remain embedded as static images. Vision Language Models (VLMs) show promise in the conversion of these flowchart…

cs.SE2025

From Law to Gherkin: A Human-Centred Quasi-Experiment on the Quality of LLM-Generated Behavioural Specifications from Food-Safety Regulations

Shabnam Hassani, Mehrdad Sabetzadeh, Daniel Amyot

Context: Laws and regulations increasingly shape software design, development, and quality assurance in regulated domains. Because legal provisions are written in technology-neutra…

cs.SE2025★ 2 cited

An Empirical Study on LLM-based Classification of Requirements-related Provisions in Food-safety Regulations

Shabnam Hassani, Mehrdad Sabetzadeh, Daniel Amyot

As Industry 4.0 transforms the food industry, the role of software in achieving compliance with food-safety regulations is becoming increasingly critical. Food-safety regulations,…

cs.SE2024★ 1 cited

Enhancing Legal Compliance and Regulation Analysis with Large Language Models

Shabnam Hassani

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 leg…

cs.SE2024★ 3 cited

Rethinking Legal Compliance Automation: Opportunities with Large Language Models

Shabnam Hassani, Mehrdad Sabetzadeh, Daniel Amyot +1

As software-intensive systems face growing pressure to comply with laws and regulations, providing automated support for compliance analysis has become paramount. Despite advances…

cs.SE2023★ 1 cited

Improving Requirements Completeness: Automated Assistance through Large Language Models

Dipeeka Luitel, Shabnam Hassani, Mehrdad Sabetzadeh

Natural language (NL) is arguably the most prevalent medium for expressing systems and software requirements. Detecting incompleteness in NL requirements is a major challenge. One…

cs.SE2023★ 1 cited

Using Language Models for Enhancing the Completeness of Natural-language Requirements

Dipeeka Luitel, Shabnam Hassani, Mehrdad Sabetzadeh

[Context and motivation] Incompleteness in natural-language requirements is a challenging problem. [Question/problem] A common technique for detecting incompleteness in requirement…