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Thomas Shippey
Thomas Shippey
Team Lead, Machine Learning at LogicMonitor
Dirección de correo verificada de logicmonitor.com
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Citado por
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Año
Automatically identifying code features for software defect prediction: Using AST N-grams
T Shippey, D Bowes, T Hall
Information and Software Technology 106, 142-160, 2019
902019
How good are my tests?
D Bowes, T Hall, J Petric, T Shippey, B Turhan
2017 IEEE/ACM 8th Workshop on Emerging Trends in Software Metrics (WETSoM), 9-14, 2017
612017
So you need more method level datasets for your software defect prediction? Voilà!
T Shippey, T Hall, S Counsell, D Bowes
Proceedings of the 10th ACM/IEEE International Symposium on Empirical …, 2016
342016
Getting defect prediction into industrial practice: the elff tool
D Bowes, S Counsell, T Hall, J Petric, T Shippey
2017 IEEE International Symposium on Software Reliability Engineering …, 2017
172017
Exploiting abstract syntax trees to locate software defects
TJ Shippey
112015
Assert use and defectiveness in industrial code
S Counsell, T Hall, T Shippey, D Bowes, A Tahir, S MacDonell
2017 IEEE International Symposium on Software Reliability Engineering …, 2017
72017
So you need more method level datasets for your software defect prediction
T Shippey, T Hall, S Counsell, D Bowes
Voilà, 2016
52016
A mapping study of software code cloning
T Shippey, D Bowes, B Chrisianson, T Hall
16th International Conference on Evaluation & Assessment in Software …, 2012
32012
Code cleaning for software defect prediction: A cautionary tale
T Shippey, D Bowes, S Counsell, T Hall
2018 44th Euromicro Conference on Software Engineering and Advanced …, 2018
12018
Technical Report: A Search for Code Cloning Papers.
T Shippey, D Bowes
2012
Using DNA fingerprinting techniques for the discovery of software code clones/siblings
T Shippey
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Artículos 1–11