Dr Marc Roper

Reader

Computer and Information Sciences

Personal statement

My research is primarily focused on the area of software engineering, and in particular the development and evaluation of techniques to support the construction and evolution of more reliable and robust software systems. A common theme in much of this work is the application of machine learning to software engineering problems; for example, to automatically generate program test data, predict software project costs, perform intrusion detection, identify the root location of faults within systems, and automatically detect software system failures. The latter of these in particular makes extensive use of a range of both semi-supervised and unsupervised (clustering) machine learning algorithms to detect anomalous entries in large very high-dimensional and complex data sets. More recently I have also been turning my attention to the converse problem of testing AI systems.

My expertise and interests in machine learning extend outside the software engineering domain and I have employed clustering and classification algorithms in a variety of other contexts such as the automatic identification of potential road accident blackspots from crowdsourced smartphone sensor data, and the detection of objects within images.

I also have extensive experience of using machine learning in a variety of industrial projects such as forecasting customer buyer behaviour, predicting building energy performance, and modelling interventions to combat sedentary behaviour.

Expertise

Has expertise in:

    • Software Engineering (particularly design, testing and debugging)
    • Data Analytics
    • Machine Learning
    • Conducting empirical studies of software engineering techniques and processes
    • Search-based software engineering
    • Software analytics (static analysis, dynamic analysis and repository mining)

Publications

Predicting the onset of delirium on hourly basis in an intensive care unit following cardiac surgery
Lapp Linda, Roper Marc, Kavanagh Kimberley, Schraag Stefan
2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS) , pp. 234-239 (2022)
https://doi.org/10.1109/cbms55023.2022.00048
Towards evolution-based autonomy in large-scale systems
Anderson Damien, Harvey Paul, Kaneta Yusaku, Papadopoulos Petros, Rodgers Philip, Roper Marc
GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference GECCO 2022 GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pp. 1924–1925 (2022)
https://doi.org/10.1145/3520304.3533975
The impact of ensemble techniques on software maintenance change prediction : an empirical study
Alsolai Hadeel, Roper Marc
Applied Sciences Vol 12 (2022)
https://doi.org/10.3390/app12105234
Recognition system for Libyan vehicle license plate
Almabruk Tahani A A, Almaghairbe Rafig, Bukewitin talal, Roper Marc
ICEMIS'21 The 7th International Conference on Engineering &MIS 2021 The International Conference on Engineering & MIS (2021)
https://doi.org/10.1145/3492547.3492595
Machine learning techniques for automated software fault detection via dynamic execution data : empirical evaluation study
Almaghairbe Rafig, Roper Marc, Almabruk Tahani
Proceedings of the 6th International Conference on Engineering and MIS 2020, ICEMIS 2020 , pp. 1-12 (2020)
https://doi.org/10.1145/3410352.3410747
A systematic literature review of machine learning techniques for software maintainability prediction
Alsolai Hadeel, Roper Marc
Information and Software Technology Vol 119 (2020)
https://doi.org/10.1016/j.infsof.2019.106214

More publications

Teaching

Over my career I have taught a lare range of classes, from 1st year undergraduate to postgraduate, mainly on areas related to programming, software engineering, software design, data analytics and machine learning.

My main current teaching responsibilities are:

I am also responsible for overseeing the MEng final year group project:

Research interests

  • Software engineering
  • Machine Learning

Professional activities

ESEM 2011: 5th International Symposium on Empirical Software Engineering and Measurement
Member of programme committee
2011
Testing: Academic and Industrial Conference - Practice And Research Techniques (TAICPART)
Chair
29/8/2008
Information and Software Technology (Journal)
Editorial board member
1/2008
Software Testing, Verification and Reliability (Journal)
Editorial board member
1/2008

More professional activities

Projects

KTP - Coolside Ltd t/a Trtl. Development of a platform to proactively determine and address ongoing counterfeiting and unauthorised product distribution
Roper, Marc (Principal Investigator) Dickson, Alexander (Co-investigator) Wallace, William (Co-investigator)
01-Jan-2022 - 28-Jan-2025
AI and blockchain for construction, mining and infrastructure companies - Hypervine / Data Lab
Roper, Marc (Principal Investigator) Roberts, Jen (Co-investigator)
01-Jan-2022 - 31-Jan-2022
Providing confidence to encourage active travel through the application of AI
Dunlop, Mark (Principal Investigator) Roper, Marc (Co-investigator)
01-Jan-2020 - 28-Jan-2021
Maths DTP 2020 University of Strathclyde | Murray, Andrew
Cashmore, Michael (Principal Investigator) Roper, Marc (Principal Investigator) Arulselvan, Ashwin (Co-investigator) Weir, George (Co-investigator) Murray, Andrew (Research Co-investigator)
01-Jan-2020 - 01-Jan-2024
KTP - Maru Syngro
Barlow, Euan (Principal Investigator) Revie, Matthew (Co-investigator) Roper, Marc (Co-investigator)
15-Jan-2018 - 14-Jan-2020
Optimising Industrial Service Workforces using Mobile App Data
Roper, Marc (Principal Investigator) Minisci, Edmondo (Co-investigator) Riccardi, Annalisa (Co-investigator)
01-Jan-2018 - 01-Jan-2019

More projects

Address

Computer and Information Sciences
Livingstone Tower

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