Sound and complete witnesses for template-based verification of LTL properties on polynomial programs

We study the classical problem of verifying programs with respect to formal specifications given in the linear temporal logic (LTL). We first present novel sound and complete witnesses for LTL verification over imperative programs. Our witnesses are applicable to both verification (proving) and refu...

Full description

Saved in:
Bibliographic Details
Main Authors: CHATTERJEE, Krishnendu, GOHARSHADY, Amir, GOHARSHADY, Ehsan, KARRABI, Mehrdad, ZIKELIC, Dorde
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/9339
https://ink.library.smu.edu.sg/context/sis_research/article/10339/viewcontent/79208d93_630a_48bf_9e52_8661d8ae4751.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-10339
record_format dspace
spelling sg-smu-ink.sis_research-103392024-10-08T06:56:08Z Sound and complete witnesses for template-based verification of LTL properties on polynomial programs CHATTERJEE, Krishnendu GOHARSHADY, Amir GOHARSHADY, Ehsan KARRABI, Mehrdad ZIKELIC, Dorde We study the classical problem of verifying programs with respect to formal specifications given in the linear temporal logic (LTL). We first present novel sound and complete witnesses for LTL verification over imperative programs. Our witnesses are applicable to both verification (proving) and refutation (finding bugs) settings. We then consider LTL formulas in which atomic propositions can be polynomial constraints and turn our focus to polynomial arithmetic programs, i.e. programs in which every assignment and guard consists only of polynomial expressions. For this setting, we provide an efficient algorithm to automatically synthesize such LTL witnesses. Our synthesis procedure is both sound and semi-complete. Finally, we present experimental results demonstrating the effectiveness of our approach and that it can handle programs which were beyond the reach of previous state-of-the-art tools. 2024-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9339 info:doi/10.1007/978-3-031-71162-6_31 https://ink.library.smu.edu.sg/context/sis_research/article/10339/viewcontent/79208d93_630a_48bf_9e52_8661d8ae4751.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Programming Languages and Compilers
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Artificial Intelligence and Robotics
Programming Languages and Compilers
spellingShingle Artificial Intelligence and Robotics
Programming Languages and Compilers
CHATTERJEE, Krishnendu
GOHARSHADY, Amir
GOHARSHADY, Ehsan
KARRABI, Mehrdad
ZIKELIC, Dorde
Sound and complete witnesses for template-based verification of LTL properties on polynomial programs
description We study the classical problem of verifying programs with respect to formal specifications given in the linear temporal logic (LTL). We first present novel sound and complete witnesses for LTL verification over imperative programs. Our witnesses are applicable to both verification (proving) and refutation (finding bugs) settings. We then consider LTL formulas in which atomic propositions can be polynomial constraints and turn our focus to polynomial arithmetic programs, i.e. programs in which every assignment and guard consists only of polynomial expressions. For this setting, we provide an efficient algorithm to automatically synthesize such LTL witnesses. Our synthesis procedure is both sound and semi-complete. Finally, we present experimental results demonstrating the effectiveness of our approach and that it can handle programs which were beyond the reach of previous state-of-the-art tools.
format text
author CHATTERJEE, Krishnendu
GOHARSHADY, Amir
GOHARSHADY, Ehsan
KARRABI, Mehrdad
ZIKELIC, Dorde
author_facet CHATTERJEE, Krishnendu
GOHARSHADY, Amir
GOHARSHADY, Ehsan
KARRABI, Mehrdad
ZIKELIC, Dorde
author_sort CHATTERJEE, Krishnendu
title Sound and complete witnesses for template-based verification of LTL properties on polynomial programs
title_short Sound and complete witnesses for template-based verification of LTL properties on polynomial programs
title_full Sound and complete witnesses for template-based verification of LTL properties on polynomial programs
title_fullStr Sound and complete witnesses for template-based verification of LTL properties on polynomial programs
title_full_unstemmed Sound and complete witnesses for template-based verification of LTL properties on polynomial programs
title_sort sound and complete witnesses for template-based verification of ltl properties on polynomial programs
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/sis_research/9339
https://ink.library.smu.edu.sg/context/sis_research/article/10339/viewcontent/79208d93_630a_48bf_9e52_8661d8ae4751.pdf
_version_ 1814047914361618432