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Journal Articles
- 2023
[j2]Lei Zhang
, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy:
Automated data validation: An industrial experience report. J. Syst. Softw. 197: 111573 (2023)- [j1]Dana Bates, Jessica Moore:
High-fidelity simulation for graduate athletic training students and impact on students' learning experience. Res. Pract. Technol. Enhanc. Learn. 18: 15 (2023)
Conference and Workshop Papers
- 2019
- [c4]David Slater, Scott Novotney, Jessica Moore, Sean Morgan, Scott Tenaglia:
Robust keystroke transcription from the acoustic side-channel. ACSAC 2019: 776-787 - [c3]Jessica Moore, Ben Gelman, David Slater:
A Convolutional Neural Network for Language-Agnostic Source Code Summarization. ENASE 2019: 15-26 - [c2]Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater:
Logical Segmentation of Source Code. SEKE 2019: 717-777 - 2018
- [c1]Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater:
A language-agnostic model for semantic source code labeling. MASES@ASE 2018: 36-44
Informal and Other Publications
- 2019
- [i4]Lei Zhang, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy:
RESTORE: Automated Regression Testing for Datasets. CoRR abs/1903.03676 (2019) - [i3]Jessica Moore, Ben Gelman, David Slater:
A Convolutional Neural Network for Language-Agnostic Source Code Summarization. CoRR abs/1904.00805 (2019) - [i2]Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater:
A Language-Agnostic Model for Semantic Source Code Labeling. CoRR abs/1906.01032 (2019) - [i1]Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater:
Logical Segmentation of Source Code. CoRR abs/1907.08615 (2019)
Coauthor Index
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