Professor Tracy Hall
Head of Department
Wilfred Brown Building 104
- Email: email@example.com
- Tel: +44 (0)1895 267512
ProfessorTracy Hall is the Head of Department and Professor in Software Engineering at Brunel University London. She currently leads the Brunel Software Engineering Research Lab. Previously she was Head of the Systems & Software Research Group at the University of Hertfordshire and Adjunct Professor of Industrial Systems in Simula at the University of Oslo. Professor Hall’s expertise is in Empirical Software Engineering research. Over the last 20 years she has conducted many empirical software engineering studies with a variety of industrial collaborators. Her current research activities focus on software fault prediction and the human aspects of software engineering. She has published over 100 international peer reviewed journal and conference papers and has been Principal Investigator on a variety of EPSRC projects. Professor Hall is a member of the Editorial Board for the Information Software Technology Journal and the Software Quality Journal. She is also a long standing member on many international conference programme committees. Professor Hall is a member of the EPSRC Peer College.
Newest selected publications
Bowes, D., Hall, T. and Petrić, J. (2015) 'Different classifiers find different defects although with different level of consistency'.
Shepperd, M., Bowes, D. and Hall, T. (2014) 'Researcher bias: The use of machine learning in software defect prediction'. IEEE Transactions on Software Engineering, 40 (6). pp. 603 - 616. ISSN: 0098-5589 Open Access Link
Bowes, D., Hall, T. and Gray, D. (2014) 'DConfusion: A technique to allow cross study performance evaluation of fault prediction studies'. Automated Software Engineering, 21 (2). pp. 287 - 313. ISSN: 0928-8910
Verner, JM., Babar, MA., Cerpa, N., Hall, T. and Beecham, S. (2014) 'Factors that motivate software engineering teams: A four country empirical study'. Journal of Systems and Software, 92 (1). pp. 115 - 127. ISSN: 0164-1212
Hall, T., Zhang, M., Bowes, D. and Sun, Y. (2014) 'Some code smells have a significant but small effect on faults'. ACM Transactions on Software Engineering and Methodology, 23 (4). ISSN: 1049-331X