Martin Shepperd is Professor of Software Technology and Modelling at Brunel University London in the Department of Computer Science. I am also Head of Department and Fellow of the British Computer Society.
My research interests include empirical software engineering and machine learning. I am member of the Brunel Software Engineering Laboratory (BSEL).
My research publications can be viewed (and many downloaded) from google scholar or from Researchgate.
Recently I have been working with my just completed PhD student Dr Boyce Sigweni on realistic ways to validate software project prediction systems. Our initial ideas were published at EASE 2016 and we were very pleased to be awarded a prize for the best short paper. Our point is cross-validation techniques that fail to account for time are biased in that they consistently underestimate the true variance and measures of location for the model errors. Our approach is called Grow-One-At-a-Time (GOAT)!
Our work on replication and blind analysis with Dr Davide Fucci (Oulu) as the lead author recently received the Best Full Paper Award at ESEM 2016.
D. Fucci, G. Scanniello, S. Romano, M. Shepperd, B. Sigweni, F. Uyaguari, et al., "An External Replication on the Effects of Test-driven Development Using a Multi-site Blind Analysis Approach," 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Ciudad Real, Spain, 2016.
For examples of problematic empirical research we can study the careers of Dr Johnny Researcher and his colleague Prof Suzie Important-Person incuding two of their recent publications. The first  shows some nice data trawling and statistical mumbo jumbo, whilst  is a classic work of flawed and under-powered experimental design. Researcher, J. and Important-Person, S., "An Empirical Study of How X47 is a Strong Determinant of Y", IEEE Transactions on Sophistry, Vol. 11, No. 4, December 2015
Email: [first name] DOT [surname] @brunel.ac.uk