Building knowledge through families of experiments VR Basili, F Shull, F Lanubile IEEE Transactions on Software Engineering 25 (4), 456-473, 1999 | 1133 | 1999 |
Guide to advanced empirical software engineering F Shull, J Singer, DIK Sjøberg Springer, 2008 | 871 | 2008 |
The empirical investigation of perspective-based reading VR Basili, S Green, O Laitenberger, F Lanubile, F Shull, S Sørumgård, ... Empirical software engineering 1, 133-164, 1996 | 727 | 1996 |
Empirical findings in agile methods M Lindvall, V Basili, B Boehm, P Costa, K Dangle, F Shull, R Tesoriero, ... Extreme Programming and Agile Methods—XP/Agile Universe 2002: Second XP …, 2002 | 481 | 2002 |
Detecting defects in object-oriented designs: using reading techniques to increase software quality G Travassos, F Shull, M Fredericks, VR Basili ACM sigplan notices 34 (10), 47-56, 1999 | 433 | 1999 |
Issues in using students in empirical studies in software engineering education J Carver, L Jaccheri, S Morasca, F Shull Proceedings. 5th international workshop on enterprise networking and …, 2004 | 399 | 2004 |
The role of replications in empirical software engineering FJ Shull, JC Carver, S Vegas, N Juristo Empirical software engineering 13, 211-218, 2008 | 397 | 2008 |
What we have learned about fighting defects F Shull, V Basili, B Boehm, AW Brown, P Costa, M Lindvall, D Port, I Rus, ... Proceedings eighth IEEE symposium on software metrics, 249-258, 2002 | 389 | 2002 |
Identification and management of technical debt: A systematic mapping study NSR Alves, TS Mendes, MG De Mendonça, RO Spínola, F Shull, ... Information and Software Technology 70, 100-121, 2016 | 388 | 2016 |
How perspective-based reading can improve requirements inspections F Shull, I Rus, V Basili Computer 33 (7), 73-79, 2000 | 373 | 2000 |
An empirical methodology for introducing software processes F Shull, J Carver, GH Travassos ACM SIGSOFT Software Engineering Notes 26 (5), 288-296, 2001 | 362 | 2001 |
Local versus global lessons for defect prediction and effort estimation T Menzies, A Butcher, D Cok, A Marcus, L Layman, F Shull, B Turhan, ... IEEE Transactions on software engineering 39 (6), 822-834, 2012 | 324 | 2012 |
Using technical debt data in decision making: Potential decision approaches C Seaman, Y Guo, N Zazworka, F Shull, C Izurieta, Y Cai, A Vetrò 2012 Third International Workshop on Managing Technical Debt (MTD), 45-48, 2012 | 238 | 2012 |
Investigating the impact of design debt on software quality N Zazworka, MA Shaw, F Shull, C Seaman Proceedings of the 2nd workshop on managing technical debt, 17-23, 2011 | 237 | 2011 |
Understanding the high-performance-computing community: A software engineer's perspective VR Basili, JC Carver, D Cruzes, LM Hochstein, JK Hollingsworth, F Shull, ... IEEE software 25 (4), 29, 2008 | 208 | 2008 |
A case study on effectively identifying technical debt N Zazworka, RO Spínola, A Vetro', F Shull, C Seaman Proceedings of the 17th International Conference on Evaluation and …, 2013 | 205 | 2013 |
Replicating software engineering experiments: addressing the tacit knowledge problem F Shull, V Basili, J Carver, JC Maldonado, GH Travassos, M Mendonça, ... Proceedings international symposium on empirical software engineering, 7-16, 2002 | 203 | 2002 |
Are two heads better than one? On the effectiveness of pair programming T Dybå, E Arisholm, DIK Sjoberg, JE Hannay, F Shull IEEE software 24 (6), 12-15, 2007 | 202 | 2007 |
Knowledge-sharing issues in experimental software engineering F Shull, MG Mendoncça, V Basili, J Carver, JC Maldonado, S Fabbri, ... Empirical Software Engineering 9, 111-137, 2004 | 191 | 2004 |
Comparing four approaches for technical debt identification N Zazworka, A Vetro’, C Izurieta, S Wong, Y Cai, C Seaman, F Shull Software Quality Journal 22, 403-426, 2014 | 178 | 2014 |