The use of nlp-based text representation techniques to support requirement engineering tasks: A systematic mapping review

R Sonbol, G Rebdawi, N Ghneim - Ieee Access, 2022 - ieeexplore.ieee.org
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 …

Machine/deep learning for software engineering: A systematic literature review

S Wang, L Huang, A Gao, J Ge, T Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …

Artificial intelligence and project management: empirical overview, state of the art, and guidelines for future research

R Müller, G Locatelli, V Holzmann… - Project …, 2024 - journals.sagepub.com
Desk rejections of artificial intelligence (AI)–related submissions to the Project Management
Journal®(PMJ) are high. This article provides an overview and state-of-the-art snapshot on …

A systematic literature review on using machine learning algorithms for software requirements identification on stack overflow

A Ahmad, C Feng, M Khan, A Khan… - Security and …, 2020 - Wiley Online Library
Context. The improvements made in the last couple of decades in the requirements
engineering (RE) processes and methods have witnessed a rapid rise in effectively using …

Machine learning in requirements elicitation: A literature review

C Cheligeer, J Huang, G Wu, N Bhuiyan, Y Xu, Y Zeng - AI EDAM, 2022 - cambridge.org
A growing trend in requirements elicitation is the use of machine learning (ML) techniques to
automate the cumbersome requirement handling process. This literature review summarizes …

An ensemble machine learning technique for functional requirement classification

N Rahimi, F Eassa, L Elrefaei - symmetry, 2020 - mdpi.com
In Requirement Engineering, software requirements are classified into two main categories:
Functional Requirement (FR) and Non-Functional Requirement (NFR). FR describes user …

Advances in automated support for requirements engineering: a systematic literature review

MA Umar, K Lano - Requirements Engineering, 2024 - Springer
Requirements Engineering (RE) has undergone several transitions over the years, from
traditional methods to agile approaches emphasising increased automation. In many …

An automatic methodology for the quality enhancement of requirements using genetic algorithms

DA Dopazo, VM Pelayo, GG Fuster - Information and Software Technology, 2021 - Elsevier
Context The set of requirements for any project offers common ground where the client and
the company agree on the most important features and limitations of the project. Having a …

Rendex: A method for automated reviews of textual requirements

V Antinyan, M Staron - Journal of Systems and Software, 2017 - Elsevier
Conducting requirements reviews before the start of software design is one of the central
goals in requirements management. Fast and accurate reviews promise to facilitate software …

Seizing requirements engineering issues through supervised learning techniques

M Gramajo, L Ballejos, M Ale - IEEE Latin America …, 2020 - ieeexplore.ieee.org
In recent years, the popularity of machine learning techniques has grown due to the
availability of larges volumes of data and the increased processing capacity of computers …