David Cutting

David Cutting
Queen's University Belfast | QUB · School of Electronics, Electrical Engineering and Computer Science (EEECS)

Doctor of Philosophy

About

19
Publications
5,522
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34
Citations
Introduction
David currently works at the School of Electronics, Electrical Engineering and Computer Science (EEECS), Queen's University Belfast. David does research in Programming Languages and Software Engineering. His PhD project was 'Traceability Forensics.'

Publications

Publications (19)
Article
Aim: Research has shown that families' participation in a cardiovascular disease (CVD) prevention programme could boost early adoption of healthy lifestyle behaviours in families. Behaviour-based, eHealth interventions are a potential means of achieving this. This study aimed to explore expectations of families-parents and children-at risk of CVD...
Article
Full-text available
Context More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores. Objective Our goal is to gain insights into the user reviews of those...
Conference Paper
The Ki-67 protein is associated with cell proliferation and is a clinical marker for breast cancer tumour aggressiveness. The percentage of immunopositive cells present in a histological image stained for Ki-67 expression informs the proliferation index quantifying tumour aggressiveness. This calculation is frequently carried out through manual ass...
Article
Full-text available
More than 64 countries and regions have, so far, developed COVID-19 contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, between a few hundred to a few thousand reviews have been entered by end-users in app stores. In this paper, we mine insights f...
Article
Full-text available
Objectives Our goal was to gain insights into the user reviews of the three COVID-19 contact-tracing mobile apps, developed for the different regions of the UK: ‘NHS COVID-19’ for England and Wales, ‘StopCOVID NI’ for Northern Ireland and ‘Protect Scotland’ for Scotland. Our two research questions are (1) what are the users’ experience and satisfac...
Article
Full-text available
Objectives The aim of the study was to investigate the spatial and temporal relationships between the prevalence of COVID-19 symptoms in the community-level and area-level social deprivation. Design Spatial mapping, generalised linear models, using time as a factor and spatial-lag models were used to explore the relationship between self-reported...
Article
Full-text available
This paper describes the development of the ‘Brain-Fit’ app, a digital secondary prevention intervention designed for use in the early phase after transient ischaemic attack (TIA) or minor stroke. The aim of the study was to explore perceptions on usability and relevance of the app in order to maximise user engagement and sustainability. Using the...
Preprint
Full-text available
Context: More than 50 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores. Objective: Our goal is to gain insights into the user reviews of those...
Chapter
The challenges of effective teaching in mass education environments are well documented. The cohorts of large size generally means that identification of struggling students is usually only at a point when meaningful interventions are too late. This paper reports on the use of novel technologies to provide insights into areas of learner behaviour i...
Thesis
Full-text available
Computer software is, by its very nature highly complex and invisible yet subject to a near-continual pressure to change. Over time the development process has become more mature and less risky. This is in large part due to the concept of software traceability; the ability to relate software components back to their initial requirements and between...
Poster
Full-text available
D-UEA-ST (pronounced due east) is a plugin architecture that enables easy development of scientific software prototypes aimed at supporting software developers. Prototypes are developed as D-UEA-ST plugins that make use of knowledge representation models, reasoners and optimisers, and visualisation APIs. D-UEA-ST also defines a clear workflow that...
Technical Report
Full-text available
When a web client needs to periodically refresh data held on the server there are generally two approaches. Interval polling (" short polling "), which is most commonly used, where the client repeatedly reconnects to the server for updates, and a technique in which the HTTP connection is kept open (" long polling "). Although work exists investigat...
Article
Full-text available
Various tools exist to reverse engineer software source code and generate design information, such as UML projections. Each has specific strengths and weaknesses, however, no standardised benchmark exists that can be used to evaluate and compare their performance and effectiveness in a systematic manner. To facilitate such comparison in this paper...
Conference Paper
Full-text available
Various tools exist to reverse engineer software source code and generate design information, such as UML projections. Each has specific strengths and weaknesses, however no stan-dardised benchmark exists that can be used to evaluate and compare their performance and effectiveness in a systematic manner. To facilitate such comparison we introduce t...

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Projects

Project (1)