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ZENODO
Dataset . 2024
Data sources: ZENODO
ZENODO
Dataset . 2024
Data sources: Datacite
ZENODO
Dataset . 2024
Data sources: Datacite
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[artifact] Misconceptions About Loops in C

Authors: Martin Brain; Mahdi Malkawi;

[artifact] Misconceptions About Loops in C

Abstract

NOTE: PLEASE VERIFY INTEGRITY AFTER DOWNLOAD: - SHA-256: eb5dab87eb050ddb23b2041e6e2727ad41a01bb2eeca82dccf1f4517e0114cc8 IF HASHES DO NOT MATCH, PLEASE RE-DOWNLOAD AND VERIFY AGAIN. ----------------------------------------------------------------------------------------- This artifact collects the examples used in the paper and provides themas a test suite. Each example is a separate program that can be used in anumber of ways. The program’s text is used in the paper. No results aregenerated. Each program takes a single input that controls which path throughthe program is taken and gives a single output that records which brancheswere taken. This allows them to be used for back-to-back testing withcompilers, interpreters, source-to-source translation, or dynamic analysistools. If the input/output relation changes, then transformation is buggyand unable to handle that kind of loop. They also have assertions that hold true only for valid paths throughthe program, making them ideal for testing with static analysis tools. Ifan assertion fails, it indicates a bug in the static analysis tool.To demonstrate how these can be used, we provide a setup to testCBMC.

Related Organizations
Keywords

Loop Analysis, Software Verification, Static Analysis

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average