Senior Lecturer in Psychology at Southampton Solent University, UK.
My main research interests are in cognitive psychology and neuroscience, visual short-term memory, object feature binding (the binding problem), visual perception, and research methods (experimental design in particular). My current research interests extend to understanding cognitive processes used in expert problem solving in the software engineering domain, the detection of on-line deception, cognitive aspects of the implementation and acceptance of biometrics and the psychology of art.
Completed:
MeLLow: Meta-level Learning for Software
Project Prediction (EPSRC Grant GR/S45119, 2002-2005).
Mair, C., Shepperd, M. and Stephens, M. (2008) How Cognitive Psychology Can Help Analogy-Based Project Estimation, Accepted for the 19th Annual UK Software Metrics Association (UKSMA) Conference, London, 16th October 2008.
Taylor, J. and Mair, C. (2008) Qualitative Methods for Classifying and Detecting Online Identity Deception. To be published in the Proceedings of Computer/Human Interaction, (CHI Õ08), Florence, Italy, 5th - 10th April 2008.
Song, Q., Shepperd, M., & Mair, C. (2006) Software Defect Association Mining and Defect Correction Effort Prediction. IEEE Transactions on Software Engineering, 32(2), 69-82.
Mair, C. and Shepperd, M.J. (2006) Looking at Comparisons of Regression and Analogy-based Software Project Cost Prediction, Proceedings of International Conference on Software Engineering Research and Practice (SERPÕ06), Las Vegas, 26th - 29th June 2006.
Mair, C., Shepperd, M.J. and Forselius, P. (2006) An Empirical Analysis of Software Productivity, Proceedings of 3rd Software Measurement European Forum (SMEF 2006), 10th - 12th May, Rome, 2006.
Mair, C., & Shepperd, M. (2005) The Consistency of Empirical Comparisons of Regression and Analogy-based Software Project Cost PredictioN. Paper presented at the 4th Intl. Symp. on Empirical Softw. Eng. (ISESE), Noosa Heads, Australia.
Mair, C., Shepperd, M., & Jorgensen, M. (2005) An Analysis of Data Sets Used to Train and Validate Cost Prediction Systems. Paper presented at the PROMISE 2005, St Louis, MI.
Song, Q., Shepperd, M., & Mair, C. (2005) Using Grey Relational Analysis to Predict Software Effort with Small Data Sets. Paper presented at the 11th IEEE Intl. Softw. Metrics Symp. (Metrics05), Como, Italy, September 2005.
Mair, C. & Shepperd, M. (2004) Making Software Cost Data Available for Meta-Analysis. Proceedings of the 8th International Conference on Empirical Assessment in Software Engineering (EASE, 2004), Edinburgh, Scotland, UK, 20-22 May 2004, 37-45.
Mair, C., Shepperd, M., Kirsopp, C., Premraj, R. & Heathcote, D. (2004) Understanding Object Feature Binding through Experimentation as a Precursor to Modelling. Proceedings of the 8th Neural Computation and Psychology Workshop, Connectionist Models of Cognition and Perception II. H. Bowman & C. Labiouise (Eds) Progress in Neural Processing 15. World Scientific, 295-305.
Premraj, R., Twala, B. & Mair, C . (2004) Productivity of Software Projects by Business Sector: An Empirical Analysis of Trends. Proceedings of the 10th International Software Metrics Symposium, Chicago, USA, 14-18 September 2004.
Mair, C. (2003) Towards a Further Understanding of Object Feature Binding. Proceedings of the 7th International Conference on Cognitive and Neural Systems (ICCNS), Boston, USA, May 2003.
Mair, C., Kadoda, G., Lefley, M., Phalp, K., Schofield, C., Shepperd, M. & Webster, S. (2000) An Investigation of Machine Learning Based Prediction Systems, Journal of Systems and Software, 53, 23-29.
Mair, C. & Shepperd, M. (1999) An Investigation of Rule Induction Based Prediction Systems. Proceedings of the 21st International Conference on Software Engineering (ICSE), Los Angeles, USA, May 1999.
Bennett, K., Burd, E., Kemerer, C., Lehman, M., Lee, M., Madachy, R., Mair, C., Sjoberg, D., & Slaughter, S. (1999) Empirical Studies of Evolving Systems. Empirical Software Engineering: an international journal. Vol. 4 (4), December 1999.
Contact:Last updated: 30 June 2008