Forrest Shull
Forrest Shull
Carnegie Mellon University, Software Engineering Institute
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Building knowledge through families of experiments
VR Basili, F Shull, F Lanubile
IEEE Transactions on Software Engineering 25 (4), 456-473, 1999
Guide to advanced empirical software engineering
F Shull, J Singer, DIK Sjøberg
Springer, 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
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
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
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
The role of replications in empirical software engineering
FJ Shull, JC Carver, S Vegas, N Juristo
Empirical software engineering 13, 211-218, 2008
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
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
How perspective-based reading can improve requirements inspections
F Shull, I Rus, V Basili
Computer 33 (7), 73-79, 2000
An empirical methodology for introducing software processes
F Shull, J Carver, GH Travassos
ACM SIGSOFT Software Engineering Notes 26 (5), 288-296, 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
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
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
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
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
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
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
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
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
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