Result Invalidation for Incremental Modular Analyses

Research output: Chapter in Book/Report/Conference proceedingConference paper

1 Citation (Scopus)


To reduce the running time of static analysis tools upon program changes, incremental static analyses reuse and update pre-existing results. Such analyses must efficiently detect and remove outdated results. We introduce three novel, complementary result invalidation strategies for incremental modular analyses. The core idea of our work is to alternate invalidation with computation. We apply our strategies to a recent, state-of-the-art incremental modular analysis that suffers from imprecision, and evaluate them on soundness, precision, and performance. Our strategies lead to precision improvements compared to an incremental analysis without invalidation, though the precision of a full reanalysis is not yet matched. On most benchmarks, our incremental analysis performs well. However, on some benchmarks our analysis performs poorly as the changes drastically change program behaviour, for which the changes are difficult for an incremental analysis to handle.
Original languageEnglish
Title of host publicationProceedings of the 24th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2023, Boston, MA, USA, January 16-17, 2023
EditorsCezara Dragoi, Michael Emmi, Jingbo Wang
Place of PublicationCham
Number of pages24
ISBN (Electronic)978-3-031-24950-1
ISBN (Print)978-3-031-24949-5
Publication statusPublished - 17 Jan 2023
Event24th International Conference on Verification, Model Checking, and Abstract Interpretation - Park Plaza Hotel, Boston, United States
Duration: 16 Jan 202317 Jan 2023

Publication series

NameLecture Notes in Computer Science
PublisherSpringer, Cham
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference24th International Conference on Verification, Model Checking, and Abstract Interpretation
Abbreviated titleVMCAI 2023
Country/TerritoryUnited States
Internet address

Bibliographical note

Funding Information:
This work was partially supported by the Research Foundation – Flanders (FWO) (grant number 11F4822N) and by the Cybersecurity Initiative Flanders.

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright 2023 Elsevier B.V., All rights reserved.


  • static analysis
  • incremental computation
  • abstract interpretation


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