no code implementations • 9 Apr 2024 • Alessio Ferrari, Sallam Abualhaija, Chetan Arora
Complementing natural language (NL) requirements with graphical models can improve stakeholders' communication and provide directions for system design.
1 code implementation • 9 Feb 2023 • Waad Alhoshan, Alessio Ferrari, Liping Zhao
Objective: This paper addresses this problem by showing how a zero-shot learning approach can be used for requirements classification without using any labelled training data.
no code implementations • 8 Apr 2022 • Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo
Research in applying natural language processing (NLP) techniques to requirements engineering (RE) tasks spans more than 40 years, from initial efforts carried out in the 1980s to more recent attempts with machine learning (ML) and deep learning (DL) techniques.
1 code implementation • 6 Apr 2021 • Alessio Ferrari, Thaide Huichapa, Paola Spoletini, Nicole Novielli, Davide Fucci, Daniela Girardi
Capturing users' engagement is crucial for gathering feedback about the features of a software product.