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ORCIDRohan Bavishi
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2020 – today
- 2022
[b1]Rohan Bavishi:
Tools and Techniques for Building Programming Assistants for Data Analysis. University of California, Berkeley, USA, 2022- [j3]Rohan Bavishi
, Harshit Joshi, José Cambronero, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radicek, Ashish Tiwari:
Neurosymbolic repair for low-code formula languages. Proc. ACM Program. Lang. 6(OOPSLA2): 1093-1122 (2022) - [i2]Rohan Bavishi, Harshit Joshi, José Pablo Cambronero Sánchez, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radicek, Ashish Tiwari:
Neurosymbolic Repair for Low-Code Formula Languages. CoRR abs/2207.11765 (2022) - 2021
- [j2]Rohan Bavishi, Caroline Lemieux, Koushik Sen, Ion Stoica:
Gauss: program synthesis by reasoning over graphs. Proc. ACM Program. Lang. 5(OOPSLA): 1-29 (2021) - [c5]Rohan Bavishi, Shadaj Laddad, Hiroaki Yoshida, Mukul R. Prasad, Koushik Sen:
VizSmith: Automated Visualization Synthesis by Mining Data-Science Notebooks. ASE 2021: 129-141 - 2020
- [c4]Hiroaki Yoshida, Rohan Bavishi, Keisuke Hotta, Yusuke Nemoto, Mukul R. Prasad, Shinji Kikuchi:
Phoenix: a tool for automated data-driven synthesis of repairs for static analysis violations. ICSE (Companion Volume) 2020: 53-56
2010 – 2019
- 2019
- [j1]Rohan Bavishi, Caroline Lemieux, Roy Fox, Koushik Sen, Ion Stoica:
AutoPandas: neural-backed generators for program synthesis. Proc. ACM Program. Lang. 3(OOPSLA): 168:1-168:27 (2019) - [c3]Rohan Bavishi, Hiroaki Yoshida, Mukul R. Prasad:
Phoenix: automated data-driven synthesis of repairs for static analysis violations. ESEC/SIGSOFT FSE 2019: 613-624 - 2018
- [i1]Rohan Bavishi, Michael Pradel, Koushik Sen:
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts. CoRR abs/1809.05193 (2018) - 2016
- [c2]Rohan Bavishi, Awanish Pandey, Subhajit Roy:
Regression aware debugging for mobile applications. Mobile!@SPLASH 2016: 21-22 - [c1]Rohan Bavishi, Awanish Pandey, Subhajit Roy:
To be precise: regression aware debugging. OOPSLA 2016: 897-915
Coauthor Index
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