String Matching at Scale

String matching can't be that difficult. But what are we matching on? What is the intrinsic identity of a software component? Does it change when developers copy and paste the source code instead of fetching it from a package manager? Is every package-manager request fetching the same artifact from the same upstream repository mirror? Can we trust that the source code published along with the artifact is indeed what's built into the release executable? Is the tool chain kosher?

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Publication Details

Journal
Queue
Published
2025-02-28
DOI
https://doi.org/10.1145/3723152
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

String Matching at Scale

Dennis Roellke
Queue
Natural Language Processing Techniques
article

String Matching at Scale

Dennis Roellke
article en

Abstract

String matching can't be that difficult. But what are we matching on? What is the intrinsic identity of a software component? Does it change when developers copy and paste the source code instead of fetching it from a package manager? Is every package-manager request fetching the same artifact from the same upstream repository mirror? Can we trust that the source code published along with the artifact is indeed what's built into the release executable? Is the tool chain kosher?

QueueVol. 23(1)
Bloomberg (United States) (US)
Openalex Percentile: Top 97%
Natural Language Processing Techniques
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String Matching at Scale — Dennis Roellke · Queue (2025) | TGRS Research Map | TGRS