Academic staff
Mr Mike Child
mike.child@lsbu.ac.uk
Computer Science and Informatics
https://orcid.org/0000-0003-1293-7709
269
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I joined the London South Bank University School of Computing in 2000 as a research assistant developing web systems and tools for the detection and visualisation of plagiarism. I have taught on and run a variety of software development units involving both object-oriented development with Java and web development. Having completed the Postgraduate Certificate in Higher Education I became a full time lecturer in Computing in 2007.
I have collaborated on research related to plagiarism and its detection, contributing to two papers in this area and presenting some research at an HEA Event on Managing Academic Misconduct & Preventing Plagiarism in February 2010. I was awarded a PhD in 2016 for research into the impact on fault prediction of variants of the Coupling Between Objects metric. A paper derived from this research was published in 2019.
I have acted as lead academic for a knowledge transfer partnership (KTP) project developing a novel integrated project management environment to facilitate scheduling, production, resource allocation and financial planning for the production of visual effects, animation and motion graphics assets.
Courses taught
Computer Science - BSc (Hons)
Postgraduate Research Supervision
Awarded in the last 5 years
Ms Maliha Sabir | Optimisation Method for Training Deep Neural Networks in Classification of Non- functional Requirements | PhD |
London South Bank University
London South Bank University
London South Bank University
Sun Microsystems Ltd
A Comparison and Evaluation of Variants in the Coupling Between Objects Metric
Child, M, Rosner, P and Counsell, S (2019). A Comparison and Evaluation of Variants in the Coupling Between Objects Metric. Journal of Systems and Software. 151 (2019), pp. 120-132. https://doi.org/10.1016/j.jss.2019.02.020
Visualising Java Coupling and Fault Proneness
Child, M., Rosner, P. and Counsell, S. (2014). Visualising Java Coupling and Fault Proneness. International Conference on Information Visualisation Theory and Applications. Lisbon 2014
Optimising and automating the choice of search strings when investigating possible plagiarism
Child, M. and Culwin, F. (2010). Optimising and automating the choice of search strings when investigating possible plagiarism. 4th International Plagiarism Conference. Newcastle 2010