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Elizabeth Dinella
Elizabeth Dinella
Bryn Mawr College
在 seas.upenn.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Hoppity: Learning graph transformations to detect and fix bugs in programs
E Dinella, H Dai, Z Li, M Naik, L Song, K Wang
International conference on learning representations (ICLR), 2020
2292020
Toga: A neural method for test oracle generation
E Dinella, G Ryan, T Mytkowicz, SK Lahiri
Proceedings of the 44th International Conference on Software Engineering …, 2022
782022
Deepmerge: Learning to merge programs
E Dinella, T Mytkowicz, A Svyatkovskiy, C Bird, M Naik, S Lahiri
IEEE Transactions on Software Engineering 49 (4), 1599-1614, 2022
292022
Program merge conflict resolution via neural transformers
A Svyatkovskiy, S Fakhoury, N Ghorbani, T Mytkowicz, E Dinella, C Bird, ...
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
202022
Mergebert: Program merge conflict resolution via neural transformers
A Svyatkovskiy, T Mytkowicz, N Ghorbani, S Fakhoury, EA Dinella, C Bird, ...
82021
Google Brain, Ziyang Li, Mayur Naik, Le Song, Georgia Tech, and Ke Wang. 2020
E Dinella, H Dai
Hoppity: Learning Graph Transformations To Detect and Fix Bugs in Programs, 1-17, 2020
42020
Automated merge conflict resolution
C Bird, E Dinella, SK Lahiri, TD Mytkowicz, N Sundaresan, A Svyatkovskiy
US Patent App. 17/175,521, 2022
22022
Neural Unit Test Suggestions
E Dinella, SK Lahiri, T Mytkowicz, G Ryan
arXiv preprint arXiv:2109.09262, 2021
12021
Program Analysis Tools in Automated Grading of Homework Assignments
A Milanova, B Cutler, B Holzbauer, E Maicus, S Breese, E Dinella, ...
Proceedings of the 49th ACM Technical Symposium on Computer Science …, 2018
12018
Program Structure Aware Precondition Generation
E Dinella, S Lahiri, M Naik
arXiv preprint arXiv:2310.02154, 2023
2023
NEURAL INFERENCE OF PROGRAM SPECIFICATIONS
E Dinella
University of Pennsylvania, 2023
2023
Graph Representations in Traditional and Neural Program Analysis
E Dinella
GCM 2022 Graph Computation Models, 99, 0
Supporting Team Submissions and Peer Grading within Submitty
M Peveler, S Breese, E Maicus, A Aikens, T Cyrus, E Dinella, J Anderson, ...
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