The use of nlp-based text representation techniques to support requirement engineering tasks: A systematic mapping review
Natural Language Processing (NLP) is widely used to support the automation of different
Requirements Engineering (RE) tasks. Most of the proposed approaches start with various …
Requirements Engineering (RE) tasks. Most of the proposed approaches start with various …
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 …
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 …
A deep learning framework for non-functional requirement classification
Analyzing, identifying, and classifying nonfunctional requirements from requirement
documents is time-consuming and challenging. Machine learning-based approaches have …
documents is time-consuming and challenging. Machine learning-based approaches have …
Elicitation of nonfunctional requirements in agile development using cloud computing environment
Nonfunctional requirements get less attention because functional requirements are
considered more important in the domain of agile software methodologies. This is due to the …
considered more important in the domain of agile software methodologies. This is due to the …
The application of AI techniques in requirements classification: a systematic mapping
K Kaur, P Kaur - Artificial Intelligence Review, 2024 - Springer
Requirement Analysis is the essential sub-field of requirements engineering (RE). From the
last decade, numerous automatic techniques are widely exploited in requirements analysis …
last decade, numerous automatic techniques are widely exploited in requirements analysis …
Pre-trained model-based NFR classification: Overcoming limited data challenges
Machine learning techniques have shown promising results in classifying non-functional
requirements (NFR). However, the lack of annotated training data in the domain of …
requirements (NFR). However, the lack of annotated training data in the domain of …
BERT-CNN: improving BERT for requirements classification using CNN
K Kaur, P Kaur - Procedia Computer Science, 2023 - Elsevier
Requirements classification is considered a crucial task in requirements engineering. The
analysis of functional and Non-functional requirements (NFRs) requires domain knowledge …
analysis of functional and Non-functional requirements (NFRs) requires domain knowledge …
Extraction of Activity Diagrams Based on Steps Performed in Use Case Description Using Text Mining (Case Study: SRS Myoffice Application)
RP Octavially, Y Priyadi… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
In this research, extraction is carried out to change the text on an artifact to be processed
through Text Mining to process and analyze the text whose results are validated, using the …
through Text Mining to process and analyze the text whose results are validated, using the …
[PDF][PDF] Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements.
In software projects, non-functional software requirements (NFRs) are critical because they
specify system quality and constraints. As NFRs are in natural language, accurately …
specify system quality and constraints. As NFRs are in natural language, accurately …