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Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts.

, , and . CoRR, (2018)

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Regression aware debugging for mobile applications., , and . Mobile!@SPLASH, page 21-22. ACM, (2016)Neurosymbolic Repair for Low-Code Formula Languages., , , , , , , and . CoRR, (2022)VizSmith: Automated Visualization Synthesis by Mining Data-Science Notebooks., , , , and . ASE, page 129-141. IEEE, (2021)Phoenix: a tool for automated data-driven synthesis of repairs for static analysis violations., , , , , and . ICSE (Companion Volume), page 53-56. ACM, (2020)Gauss: program synthesis by reasoning over graphs., , , and . Proc. ACM Program. Lang., 5 (OOPSLA): 1-29 (2021)Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts., , and . CoRR, (2018)Phoenix: automated data-driven synthesis of repairs for static analysis violations., , and . ESEC/SIGSOFT FSE, page 613-624. ACM, (2019)AutoPandas: neural-backed generators for program synthesis., , , , and . Proc. ACM Program. Lang., 3 (OOPSLA): 168:1-168:27 (2019)Neurosymbolic repair for low-code formula languages., , , , , , , and . Proc. ACM Program. Lang., 6 (OOPSLA2): 1093-1122 (2022)Tools and Techniques for Building Programming Assistants for Data Analysis. University of California, Berkeley, USA, (2022)