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ORCIDSPLASH Companion 2020: Virtual Event
- Hridesh Rajan:
SPLASH '20: Conference on Systems, Programming, Languages, and Applications, Software for Humanity, Virtual Event, USA, November, 2020, Companion Volume. ACM 2020, ISBN 978-1-4503-8179-6 - Sriram K. Rajamani:
Models and programs: better together (keynote). 1 - Mary Lou Soffa:
Testing deep neural networks (keynote). 2 - Vikram S. Adve
:
Why digital agriculture is fertile ground for software systems research (keynote). 3 - Raphael Mosaner:
Machine learning to ease understanding of data driven compiler optimizations. 4-6 - Eduardo Geraldo:
Gradual value-dependent information flow control. 7-9 - Aidan Z. H. Yang:
SOAR: synthesis for open-source API refactoring. 10-12 - Gahwon Lee:
SASIL: a domain-specific language for simulating declarative specifications of scheduling systems. 13-15 - Reed Oei:
Psamathe: a DSL for safe blockchain assets. 16-18 - Sophia Kolak:
Detecting performance patterns with deep learning. 19-21 - Sangheon Choi:
Consolidation: a technique for improving permissiveness of human-machine interfaces. 22-24 - Vitaly Romanov:
Evaluating importance of edge types when using graph neural network for predicting return types of Python functions. 25-27 - Ian C. McCormack:
A software library model for the internet of things. 28-30 - Mona Zhang, Jacob Gorenburg:
Design and implementation of a gradual verifier. 31-33
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