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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 Such analyses must efficiently detect and remove outdated results.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.
|Title of host publication||Proceedings of the 24th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2023, Boston, MA, USA, January 16-17, 2023|
|Editors||Cezara Dragoi, Michael Emmi, Jingbo Wang|
|Place of Publication||Cham|
|Number of pages||24|
|Publication status||Published - 17 Jan 2023|
|Event||24th International Conference on Verification, Model Checking, and Abstract Interpretation - Park Plaza Hotel, Boston, United States|
Duration: 16 Jan 2023 → 17 Jan 2023
|Name||Lecture Notes in Computer Science|
|Conference||24th International Conference on Verification, Model Checking, and Abstract Interpretation|
|Abbreviated title||VMCAI 2023|
|Period||16/01/23 → 17/01/23|
Bibliographical noteFunding Information:
This work was partially supported by the Research Foundation – Flanders (FWO) (grant number 11F4822N) and by the Cybersecurity Initiative Flanders.
© 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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SRP52: SRP-Onderzoekszwaartepunt: Foundations for Reliable Multi-Paradigm Network-Centric Programming
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