Polynomial invariant generation for non-deterministic recursive programs-Reference-Cited by-同舟云学术

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Polynomial invariant generation for non-deterministic recursive programs

Published:2020-06-06 Issue: Volume: Page:
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Container-title:Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation
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Author:

Chatterjee Krishnendu¹,Fu Hongfei²,Goharshady Amir Kafshdar¹,Goharshady Ehsan Kafshdar³

Affiliation:

1. IST Austria, Austria

2. Shanghai Jiao Tong University, China

3. Ferdowsi University of Mashhad, Iran

Funder

National Natural Science Foundation of China

Vienna Science and Technology Fund

Österreichischen Akademie der Wissenschaften

Facebook

Austrian Science Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3385412.3385969

Reference78 articles.

1. Assalé Adjé Pierre-Loïc Garoche and Victor Magron. 2015. Propertybased polynomial invariant generation using sums-of-squares optimization. In SAS. 235–251. Assalé Adjé Pierre-Loïc Garoche and Victor Magron. 2015. Propertybased polynomial invariant generation using sums-of-squares optimization. In SAS. 235–251.

2. Assalé Adjé Stéphane Gaubert and Eric Goubault. 2010. Coupling policy iteration with semi-definite relaxation to compute accurate numerical invariants in static analysis. In ESOP. 23–42. Assalé Adjé Stéphane Gaubert and Eric Goubault. 2010. Coupling policy iteration with semi-definite relaxation to compute accurate numerical invariants in static analysis. In ESOP. 23–42.

3. Control flow analysis

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