Learning to Prune Infeasible Paths in Generalized Symbolic Execution-Reference-Cited by-同舟云学术

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Learning to Prune Infeasible Paths in Generalized Symbolic Execution

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE)
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Author:

Molina Facundo¹,Ponzio Pablo¹,Aguirre Nazareno¹,Frias Marcelo²

Affiliation:

1. University of Río Cuarto and CONICET,Argentina

2. Buenos Aires Institute of Technology and CONICET,Argentina

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9978763/9978935/09978961.pdf?arnumber=9978961

Reference31 articles.

1. Automatically learning shape specifications. In Chandra Krintz and Emery Berger, editors;zhu;Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation PLDI 2016 Santa Barbara,0

2. A Study of Learning Data Structure Invariants Using Off-the-shelf Tools

3. Analysis of invariants for efficient bounded verification. In Paolo Tonella and Alessandro Orso, editors;juan;Proceedings of the Nineteenth International Symposium on Software Testing and Analysis ISSTA 2010,0

4. Bounded Lazy Initialization

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Precise Lazy Initialization for Programs with Complex Heap Inputs;2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE);2023-10-09

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