Verifying Array Manipulating Programs with Full-Program Induction

We present a full-program induction technique for proving (a sub-class of) quantified as well as quantifier-free properties of programs manipulating arrays of parametric size N. Instead of inducting over individual loops, our technique inducts over the entire program (possibly containing multiple lo...

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Autores principales: Chakraborty, Supratik, Gupta, Ashutosh, Unadkat, Divyesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439729/
http://dx.doi.org/10.1007/978-3-030-45190-5_2
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author Chakraborty, Supratik
Gupta, Ashutosh
Unadkat, Divyesh
author_facet Chakraborty, Supratik
Gupta, Ashutosh
Unadkat, Divyesh
author_sort Chakraborty, Supratik
collection PubMed
description We present a full-program induction technique for proving (a sub-class of) quantified as well as quantifier-free properties of programs manipulating arrays of parametric size N. Instead of inducting over individual loops, our technique inducts over the entire program (possibly containing multiple loops) directly via the program parameter N. Significantly, this does not require generation or use of loop-specific invariants. We have developed a prototype tool Vajra to assess the efficacy of our technique. We demonstrate the performance of Vajra vis-a-vis several state-of-the-art tools on a set of array manipulating benchmarks.
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spelling pubmed-74397292020-08-21 Verifying Array Manipulating Programs with Full-Program Induction Chakraborty, Supratik Gupta, Ashutosh Unadkat, Divyesh Tools and Algorithms for the Construction and Analysis of Systems Article We present a full-program induction technique for proving (a sub-class of) quantified as well as quantifier-free properties of programs manipulating arrays of parametric size N. Instead of inducting over individual loops, our technique inducts over the entire program (possibly containing multiple loops) directly via the program parameter N. Significantly, this does not require generation or use of loop-specific invariants. We have developed a prototype tool Vajra to assess the efficacy of our technique. We demonstrate the performance of Vajra vis-a-vis several state-of-the-art tools on a set of array manipulating benchmarks. 2020-03-13 /pmc/articles/PMC7439729/ http://dx.doi.org/10.1007/978-3-030-45190-5_2 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Chakraborty, Supratik
Gupta, Ashutosh
Unadkat, Divyesh
Verifying Array Manipulating Programs with Full-Program Induction
title Verifying Array Manipulating Programs with Full-Program Induction
title_full Verifying Array Manipulating Programs with Full-Program Induction
title_fullStr Verifying Array Manipulating Programs with Full-Program Induction
title_full_unstemmed Verifying Array Manipulating Programs with Full-Program Induction
title_short Verifying Array Manipulating Programs with Full-Program Induction
title_sort verifying array manipulating programs with full-program induction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439729/
http://dx.doi.org/10.1007/978-3-030-45190-5_2
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