| A systematic literature review on fault prediction performance in software engineering T Hall, S Beecham, D Bowes, D Gray, S Counsell IEEE Transactions on Software Engineering 38 (6), 1276-1304, 2011 | 1243 | 2011 |
| Motivation in Software Engineering: A systematic literature review S Beecham, N Baddoo, T Hall, H Robinson, H Sharp Information and software technology 50 (9-10), 860-878, 2008 | 673 | 2008 |
| Researcher bias: The use of machine learning in software defect prediction M Shepperd, D Bowes, T Hall IEEE Transactions on Software Engineering 40 (6), 603-616, 2014 | 381 | 2014 |
| Key success factors for implementing software process improvement: a maturity-based analysis A Rainer, T Hall Journal of Systems and Software 62 (2), 71-84, 2002 | 286 | 2002 |
| Requirements problems in twelve software companies: an empirical analysis T Hall, S Beecham, A Rainer IEE Proceedings - Software 149 (5), 153-160, 2002 | 270 | 2002 |
| De-motivators for software process improvement: an analysis of practitioners’ views N Baddoo, T Hall Journal of Systems and Software 66 (1), 23-33, 2003 | 266 | 2003 |
| Models of motivation in software engineering H Sharp, N Baddoo, S Beecham, T Hall, H Robinson Information and software technology 51 (1), 219-233, 2009 | 233 | 2009 |
| Using an expert panel to validate a requirements process improvement model S Beecham, T Hall, C Britton, M Cottee, A Rainer Journal of Systems and Software 76 (3), 251-275, 2005 | 231 | 2005 |
| Motivators of Software Process Improvement: an analysis of practitioners' views N Baddoo, T Hall Journal of systems and software 62 (2), 85-96, 2002 | 222 | 2002 |
| Code bad smells: a review of current knowledge M Zhang, T Hall, N Baddoo Journal of Software Maintenance and Evolution: research and practice 23 (3 …, 2011 | 221 | 2011 |
| Trust in software outsourcing relationships: An empirical investigation of Indian software companies NV Oza, T Hall, A Rainer, S Grey Information and software Technology 48 (5), 345-354, 2006 | 218 | 2006 |
| Implementing effective software metrics programs T Hall, N Fenton IEEE software 14 (2), 55-65, 1997 | 218 | 1997 |
| Software process improvement problems in twelve software companies: An empirical analysis S Beecham, T Hall, A Rainer Empirical software engineering 8, 7-42, 2003 | 207 | 2003 |
| Some code smells have a significant but small effect on faults T Hall, M Zhang, D Bowes, Y Sun ACM Transactions on Software Engineering and Methodology (TOSEM) 23 (4), 1-39, 2014 | 174 | 2014 |
| Software defect prediction: do different classifiers find the same defects? D Bowes, T Hall, J Petrić Software Quality Journal 26, 525-552, 2018 | 160 | 2018 |
| A quantitative and qualitative analysis of factors affecting software processes A Rainer, T Hall Journal of Systems and Software 66 (1), 7-21, 2003 | 160 | 2003 |
| Implementing software process improvement: an empirical study T Hall, A Rainer, N Baddoo Software Process: Improvement and Practice 7 (1), 3-15, 2002 | 138 | 2002 |
| Defining a requirements process improvement model S Beecham, T Hall, A Rainer Software Quality Journal 13, 247-279, 2005 | 132 | 2005 |
| Difficulties in managing offshore software outsourcing relationships: An empirical analysis of 18 high maturity Indian software companies NV Oza, T Hall Journal of Information Technology Case and Application Research 7 (3), 25-41, 2005 | 98 | 2005 |
| Factors that motivate software engineering teams: A four country empirical study JM Verner, MA Babar, N Cerpa, T Hall, S Beecham Journal of Systems and Software 92, 115-127, 2014 | 95 | 2014 |
David BowesSenior Lecturer, School of Computing & Communications, Lancaster UniversityEmail verificata su lancaster.ac.uk
