3 citations · 9 across the 8 of their papers we have counts for
8 papers
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…
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…
Approaches to Responsible Governance of GenAI in Organizations
Dhari Gandhi, Himanshu Joshi, Lucas Hartman +1
PEER-REVIEWED AND ACCEPTED IN IEEE- ISTAS 2025 The rapid evolution of Generative AI (GenAI) has introduced unprecedented opportunities while presenting complex challenges around et…
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,…
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…
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…
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…
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…