A systematic literature review on using machine learning algorithms for software requirements identification on stack overflow
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 …
engineering (RE) processes and methods have witnessed a rapid rise in effectively using …
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 …
What works better? a study of classifying requirements
Classifying requirements into functional requirements (FR) and non-functional ones (NFR) is
an important task in requirements engineering. However, automated classification of …
an important task in requirements engineering. However, automated classification of …
On the variation and specialisation of workload—A case study of the Gnome ecosystem community
B Vasilescu, A Serebrenik, M Goeminne… - Empirical Software …, 2014 - Springer
Most empirical studies of open source software repositories focus on the analysis of isolated
projects, or restrict themselves to the study of the relationships between technical artifacts. In …
projects, or restrict themselves to the study of the relationships between technical artifacts. In …
A contextual approach towards more accurate duplicate bug report detection and ranking
A Hindle, A Alipour, E Stroulia - Empirical Software Engineering, 2016 - Springer
The issue-tracking systems used by software projects contain issues, bugs, or tickets written
by a wide variety of bug reporters, with different levels of training and knowledge about the …
by a wide variety of bug reporters, with different levels of training and knowledge about the …
Continuous code quality: Are we (really) doing that?
Continuous Integration (CI) is a software engineering practice where developers constantly
integrate their changes to a project through an automated build process. The goal of CI is to …
integrate their changes to a project through an automated build process. The goal of CI is to …
Automated topic naming to support cross-project analysis of software maintenance activities
Researchers have employed a variety of techniques to extract underlying topics that relate to
software development artifacts. Typically, these techniques use semi-unsupervised machine …
software development artifacts. Typically, these techniques use semi-unsupervised machine …
Extraction of non-functional requirement using semantic similarity distance
Functional and non-functional requirements are important equally in software development.
Usually, the requirements are expressed in natural languages. The functional and non …
Usually, the requirements are expressed in natural languages. The functional and non …
Machine learning in requirements engineering: A mapping study
Machine learning (ML) techniques are used to make the software development process
more efficient and effective. Many ML approaches have also been proposed to automate …
more efficient and effective. Many ML approaches have also been proposed to automate …
[PDF][PDF] A bird's eye view of natural language processing and requirements engineering
A Alzayed, A Al-Hunaiyyan - International Journal of Advanced …, 2021 - academia.edu
Natural Language Processing (NLP) has demonstrated effectiveness in many application
domains. NLP can assist software engineering by automating various activities. This paper …
domains. NLP can assist software engineering by automating various activities. This paper …