Norbert: Transfer learning for requirements classification
Classifying requirements is crucial for automatically handling natural language
requirements. The performance of existing automatic classification approaches diminishes …
requirements. The performance of existing automatic classification approaches diminishes …
Automatically classifying functional and non-functional requirements using supervised machine learning
Z Kurtanović, W Maalej - 2017 IEEE 25th International …, 2017 - ieeexplore.ieee.org
In this paper, we take up the second RE17 data challenge: the identification of requirements
types using the" Quality attributes (NFR)" dataset provided. We studied how accurately we …
types using the" Quality attributes (NFR)" dataset provided. We studied how accurately we …
Requirements engineering in machine learning projects
Over the last decade, machine learning methods have revolutionized a large number of
domains and provided solutions to many problems that people could hardly solve in the …
domains and provided solutions to many problems that people could hardly solve in the …
A systematic literature review of empirical research on quality requirements
Quality requirements deal with how well a product should perform the intended functionality,
such as start-up time and learnability. Researchers argue they are important and at the …
such as start-up time and learnability. Researchers argue they are important and at the …
[HTML][HTML] Zero-shot learning for requirements classification: An exploratory study
Context: Requirements engineering (RE) researchers have been experimenting with
machine learning (ML) and deep learning (DL) approaches for a range of RE tasks, such as …
machine learning (ML) and deep learning (DL) approaches for a range of RE tasks, such as …
Non-functional requirements for machine learning: understanding current use and challenges in industry
Machine Learning (ML) is an application of Artificial Intelligence (AI) that uses big data to
produce complex predictions and decision-making systems, which would be challenging to …
produce complex predictions and decision-making systems, which would be challenging to …
[HTML][HTML] A machine learning approach for hierarchical classification of software requirements
Context: Classification of software requirements into different categories is a critically
important task in requirements engineering (RE). Develo** machine learning (ML) …
important task in requirements engineering (RE). Develo** machine learning (ML) …
Improving BERT model for requirements classification by bidirectional LSTM-CNN deep model
K Kaur, P Kaur - Computers and Electrical Engineering, 2023 - Elsevier
In the last decade, requirements classification has emerged as hot research topic in
Requirements Engineering (RE). Early identification of software requirements helps the …
Requirements Engineering (RE). Early identification of software requirements helps the …
Requirements classification with interpretable machine learning and dependency parsing
Requirements classification is a traditional application of machine learning (ML) to RE that
helps handle large requirements datasets. A prime example of an RE classification problem …
helps handle large requirements datasets. A prime example of an RE classification problem …
Automatic requirements classification based on graph attention network
G Li, C Zheng, M Li, H Wang - IEEE Access, 2022 - ieeexplore.ieee.org
Requirements classification is a significant task for requirements engineering, which is time-
consuming and challenging. The traditional requirements classification models usually rely …
consuming and challenging. The traditional requirements classification models usually rely …