David Cutting

Orcid: 0000-0002-1088-4749

According to our database1, David Cutting authored at least 15 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Is Code Co-Committal an Indicator of Evolutionary Coupling in Software Repositories?
Softw., 2026

2025
A Common Language of Software Evolution in Repositories (CLOSER).
Softw., 2025

SAPP: Student Academic Performance Predictor.
Proceedings of the IEEE Global Engineering Education Conference, 2025

Learning to 'Think' Through Playful Interactions: A Play-Kit for Incoming First-Year Computing Students.
Proceedings of the IEEE Global Engineering Education Conference, 2025

2024
Analysing Quality Metrics and Automated Scoring of Code Reviews.
Softw., 2024

A Comparative Study: Augmented and Virtual Reality Applications for Improving Comprehension of Abstract Programming Concepts.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Using ChatGPT in Software Development Education.
Proceedings of the IEEE Global Engineering Education Conference, 2024

Enhancing Students' Performance in Computer Science Through Tailored Instruction Based on their Programming Background.
Proceedings of the IEEE Global Engineering Education Conference, 2024

2023
Co-design of Modern Technology Modules with Industry and Students as Partners.
Proceedings of the Frontiers in Software Engineering Education, 2023

2022
What Users Think of COVID-19 Contact-Tracing Apps: An Analysis of Eight European Apps.
IEEE Softw., 2022

Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps.
J. Syst. Softw., 2022

An Investigation of Entropy and Refactoring in Software Evolution.
Proceedings of the Product-Focused Software Process Improvement, 2022

2020
Computing degree apprenticeships: An opportunity to address gender imbalance in the IT sector?
Proceedings of the IEEE Frontiers in Education Conference, 2020

2019
Use of Wearable Technologies with Machine Learning to Understand University Student Learning Behaviours to Predict Students at Risk of Failing.
Proceedings of the Human Interaction and Emerging Technologies, 2019

2016
Enhancing legacy software system analysis by combining behavioural and semantic information sources.
PhD thesis, 2016


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