Software engineering education in the era of conversational AI: current trends and future directions

C Sengul, R Neykova, G Destefanis - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
The developments in conversational AI raised urgent questions about the future direction of
many aspects of society, including computing education. The first reactions to the fast-paced …

Generative AI for Requirements Engineering: A Systematic Literature Review

H Cheng, JH Husen, SR Peralta, B Jiang… - arXiv preprint arXiv …, 2024 - arxiv.org
Context: Generative AI (GenAI) has emerged as a transformative tool in software
engineering, with requirements engineering (RE) actively exploring its potential to …

Exploring the REIT architecture for requirements elicitation interview training with robotic and virtual tutors

B Görer, FB Aydemir - Journal of Systems and Software, 2024 - Elsevier
Requirements elicitation interviews are a widely adopted technique where the interview
success depends on the interviewer's preparedness and communication skills. Students can …

Getting Inspiration for Feature Elicitation: App Store-vs. LLM-based Approach

J Wei, AL Courbis, T Lambolais, B Xu… - Proceedings of the 39th …, 2024 - dl.acm.org
Over the past decade, app store (AppStore)-inspired requirements elicitation has proven to
be highly beneficial. Developers often explore competitors' apps to gather inspiration for …

GPT-Powered Elicitation Interview Script Generator for Requirements Engineering Training

B Görer, FB Aydemir - arXiv preprint arXiv:2406.11439, 2024 - arxiv.org
Elicitation interviews are the most common requirements elicitation technique, and
proficiency in conducting these interviews is crucial for requirements elicitation. Traditional …

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 …

Toward Regulatory Compliance: A few-shot Learning Approach to Extract Processing Activities

KC Pragyan, R Ghandiparsi, R Slavin… - 2024 IEEE 32nd …, 2024 - ieeexplore.ieee.org
The widespread use of mobile applications has driven the growth of the industry, with
companies relying heavily on user data for services like targeted advertising and …

Quantitative knowledge retrieval from large language models

D Selby, K Spriestersbach, Y Iwashita… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have been extensively studied for their abilities to generate
convincing natural language sequences, however their utility for quantitative information …

MARE: Multi-Agents Collaboration Framework for Requirements Engineering

D Jin, Z Jin, X Chen, C Wang - arXiv preprint arXiv:2405.03256, 2024 - arxiv.org
Requirements Engineering (RE) is a critical phase in the software development process that
generates requirements specifications from stakeholders' needs. Recently, deep learning …

A New AI Literacy For The Algorithmic Age: Prompt Engineering Or Eductional Promptization?

H Haugsbaken, M Hagelia - 2024 4th International Conference …, 2024 - ieeexplore.ieee.org
The introduction and rapid adoption of particular Artificial Intelligence (AI) technologies such
as Large Language Models, where among other, Chat Generative Pre-trained Transformer …