Professor Martin Shepperd
Prof of Software Technologies & Modelling
Wilfred Brown Building 114
- Email: firstname.lastname@example.org
- Tel: +44 (0)1895 267188
Martin Shepperd received a PhD in computer science from the Open University in 1991 for his work in measurement theory, many sorted algebras and their application to empirical software engineering. He was seconded to the Parliamentary Office of Science & Technology. Presently he is Head of Department and holds the chair of Software Technology and Modelling at Brunel University London, UK. He has published more than 150 refereed papers and three books in the areas of software engineering and machine learning. He is a fellow of the British Computer Society.
Previously Martin has worked as a software developer for HSBC.
I am General Chair of the 18th International Conference on Evaluation and Assessment in Software Engineering (EASE 2014).
I was General Chair of the 18th International Conference on Evaluation and Assessment in Software Engineering (EASE 2014)
Newest selected publications
Shepperd, M., Mair, C. and Jørgensen, M. (Accepted) 'An Experimental Evaluation of a De-biasing Intervention for Professional Software Developers'.33rd ACM Software Applications Conference, 2018. Pau, France.Open Access Link
Shepperd, M., Hall, T. and Bowes, D. (2017) 'Authors' Reply to “Comments on 'Researcher Bias: The Use of Machine Learning in Software Defect Prediction' ”'. IEEE Transactions on Software Engineering. ISSN: 0098-5589
Fucci, D., Scanniello, G., Romano, S., Shepperd, M., Sigweni, B., Uyaguari, F., (Accepted) 'An External Replication on the Effects of Test-driven Development Using a Multi-site Blind Analysis Approach'. ACM. pp. 3:1 - 3:10.Open Access Linket al.
Sigweni, B., Shepperd, M. and Turchi, T. (2016) 'Realistic Assessment of Software Effort Estimation Models'.20th International Conference on Evaluation and Assessment in Software Engineering (EASE). Limerick, Ireland. 3 - 3 JuneOpen Access Link
Sigweni, B. and Shepperd, M. (Accepted) 'Using Blind Analysis for Software Engineering Experiments'.Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering. Nanjing. ACM.Open Access Link