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Gregory Gay
Gregory Gay
Chalmers | University of Gothenburg
Bestätigte E-Mail-Adresse bei chalmers.se - Startseite
Titel
Zitiert von
Zitiert von
Jahr
On the use of relevance feedback in IR-based concept location
G Gay, S Haiduc, A Marcus, T Menzies
2009 IEEE international conference on software maintenance, 351-360, 2009
2522009
Implications of ceiling effects in defect predictors
T Menzies, B Turhan, A Bener, G Gay, B Cukic, Y Jiang
Proceedings of the 4th international workshop on Predictor models in …, 2008
2462008
Empirical standards for software engineering research
P Ralph, N Ali, S Baltes, D Bianculli, J Diaz, Y Dittrich, N Ernst, M Felderer, ...
arXiv preprint arXiv:2010.03525, 2020
172*2020
The risks of coverage-directed test case generation
G Gay, M Staats, M Whalen, MPE Heimdahl
IEEE Transactions on Software Engineering 41 (8), 803-819, 2015
1362015
On the danger of coverage directed test case generation
M Staats, G Gay, M Whalen, M Heimdahl
Fundamental Approaches to Software Engineering: 15th International …, 2012
992012
Automated oracle creation support, or: How I learned to stop worrying about fault propagation and love mutation testing
M Staats, G Gay, MPE Heimdahl
2012 34th International Conference on Software Engineering (ICSE), 870-880, 2012
922012
When to use data from other projects for effort estimation
E Kocaguneli, G Gay, T Menzies, Y Yang, JW Keung
Proceedings of the 25th IEEE/ACM International Conference on Automated …, 2010
732010
Observable modified condition/decision coverage
M Whalen, G Gay, D You, MPE Heimdahl, M Staats
2013 35th International Conference on Software Engineering (ICSE), 102-111, 2013
652013
Automatically finding the control variables for complex system behavior
G Gay, T Menzies, M Davies, K Gundy-Burlet
Automated Software Engineering 17, 439-468, 2010
502010
The fitness function for the job: Search-based generation of test suites that detect real faults
G Gay
2017 IEEE International Conference on Software Testing, Verification and …, 2017
492017
Choosing the fitness function for the job: Automated generation of test suites that detect real faults
A Salahirad, H Almulla, G Gay
Software Testing, Verification and Reliability 29 (4-5), e1701, 2019
482019
Generating effective test suites by combining coverage criteria
G Gay
Search Based Software Engineering: 9th International Symposium, SSBSE 2017 …, 2017
452017
The effect of program and model structure on the effectiveness of mc/dc test adequacy coverage
G Gay, A Rajan, M Staats, M Whalen, MPE Heimdahl
ACM Transactions on Software Engineering and Methodology (TOSEM) 25 (3), 1-34, 2016
432016
Non-functional requirements for machine learning: Understanding current use and challenges among practitioners
KM Habibullah, G Gay, J Horkoff
Requirements Engineering 28 (2), 283-316, 2023
402023
Automated oracle data selection support
G Gay, M Staats, M Whalen, MPE Heimdahl
IEEE Transactions on Software Engineering 41 (11), 1119-1137, 2015
342015
Efficient and effective generation of test cases for pedestrian detection-search-based software testing of Baidu Apollo in SVL
H Ebadi, MH Moghadam, M Borg, G Gay, A Fontes, K Socha
2021 IEEE International Conference on Artificial Intelligence Testing …, 2021
272021
Sharing experiments using open‐source software
A Nelson, T Menzies, G Gay
Software: Practice and Experience 41 (3), 283-305, 2011
272011
Investigating faults missed by test suites achieving high code coverage
A Schwartz, D Puckett, Y Meng, G Gay
Journal of Systems and Software 144, 106-120, 2018
232018
Finding robust solutions in requirements models
G Gay, T Menzies, O Jalali, G Mundy, B Gilkerson, M Feather, J Kiper
Automated Software Engineering 17, 87-116, 2010
232010
Non-functional requirements for machine learning: An exploration of system scope and interest
KM Habibullah, G Gay, J Horkoff
Proceedings of the 1st Workshop on Software Engineering for Responsible AI …, 2022
212022
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