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Automated Synthesis of Decision Lists for Polynomial Specifications over Integers

19 pagesPublished: May 26, 2024

Abstract

In this work, we consider two sets I and O of bounded integer variables, modeling the inputs and outputs of a program. Given a specification Post, which is a Boolean combination of linear or polynomial inequalities with real coefficients over I ∪ O, our goal is to synthesize the weakest possible pre-condition Pre and a program P satisfying the Hoare triple {Pre}P{Post}. We provide a novel, practical, sound and complete algorithm, inspired by Farkas’ Lemma and Handelman’s Theorem, that synthesizes both the program P and the pre-condition Pre over a bounded integral region. Our approach is exact and guaranteed to find the weakest pre-condition. Moreover, it always synthesizes both P and Pre as linear decision lists. Thus, our output consists of simple programs and pre- conditions that facilitate further static analysis. We also provide experimental results over benchmarks showcasing the real-world applicability of our approach and considerable performance gains over the state-of-the-art.1

Keyphrases: decision lists, non linear integer arithmetic, static analysis, synthesis

In: Nikolaj Bjørner, Marijn Heule and Andrei Voronkov (editors). Proceedings of 25th Conference on Logic for Programming, Artificial Intelligence and Reasoning, vol 100, pages 484-502.

BibTeX entry
@inproceedings{LPAR2024:Automated_Synthesis_Decision_Lists,
  author    = {S. Akshay and Supratik Chakraborty and Amir Kafshdar Goharshady and R Govind and Harshit Jitendra Motwani and Sai Teja Varanasi},
  title     = {Automated Synthesis of Decision Lists for Polynomial Specifications over Integers},
  booktitle = {Proceedings of 25th Conference on Logic for Programming, Artificial Intelligence and Reasoning},
  editor    = {Nikolaj Bjørner and Marijn Heule and Andrei Voronkov},
  series    = {EPiC Series in Computing},
  volume    = {100},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/1Wkl},
  doi       = {10.29007/njph},
  pages     = {484-502},
  year      = {2024}}
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