Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming

Proof-oriented programs mix computational content with proofs of program correctness. However, the human effort involved in programming and proving is still substantial, despite the use of Satisfiability Modulo Theories (SMT) solvers to automate proofs in languages such as F*. Seeking to spur resear...

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Bibliographic Details

Published in:	Proceedings / International Conference on Software Engineering pp. 1755 - 1767
Main Authors:	Chakraborty, Saikat, Ebner, Gabriel, Bhat, Siddharth, Fakhoury, Sarah, Fatima, Sakina, Lahiri, Shuvendu, Swamy, Nikhil
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.04.2025
Subjects:	AI for Proofs Artificial intelligence Automation Codes Computational modeling Production systems Programming Proof Oriented Programming Python Software Software engineering Trustworthy AI programming Windows
ISSN:	1558-1225
Online Access:	Get full text
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